Overview

Dataset statistics

Number of variables42
Number of observations55284
Missing cells228812
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory240.0 MiB
Average record size in memory4.4 KiB

Variable types

CAT20
NUM18
BOOL3
URL1

Warnings

name has a high cardinality: 54042 distinct values High cardinality
summary has a high cardinality: 49111 distinct values High cardinality
space has a high cardinality: 35719 distinct values High cardinality
description has a high cardinality: 51626 distinct values High cardinality
neighborhood_overview has a high cardinality: 30233 distinct values High cardinality
transit has a high cardinality: 31098 distinct values High cardinality
house_rules has a high cardinality: 24790 distinct values High cardinality
host_since has a high cardinality: 3446 distinct values High cardinality
host_response_rate has a high cardinality: 69 distinct values High cardinality
neighbourhood has a high cardinality: 149 distinct values High cardinality
zipcode has a high cardinality: 26556 distinct values High cardinality
amenities has a high cardinality: 50376 distinct values High cardinality
summary has 2954 (5.3%) missing values Missing
space has 16881 (30.5%) missing values Missing
description has 1726 (3.1%) missing values Missing
neighborhood_overview has 19506 (35.3%) missing values Missing
transit has 19807 (35.8%) missing values Missing
house_rules has 23378 (42.3%) missing values Missing
host_response_time has 17802 (32.2%) missing values Missing
host_response_rate has 17802 (32.2%) missing values Missing
zipcode has 1272 (2.3%) missing values Missing
review_scores_rating has 13415 (24.3%) missing values Missing
review_scores_accuracy has 13448 (24.3%) missing values Missing
review_scores_cleanliness has 13442 (24.3%) missing values Missing
review_scores_checkin has 13483 (24.4%) missing values Missing
review_scores_communication has 13446 (24.3%) missing values Missing
review_scores_location has 13480 (24.4%) missing values Missing
review_scores_value has 13480 (24.4%) missing values Missing
reviews_per_month has 12380 (22.4%) missing values Missing
name is uniformly distributed Uniform
summary is uniformly distributed Uniform
space is uniformly distributed Uniform
description is uniformly distributed Uniform
neighborhood_overview is uniformly distributed Uniform
transit is uniformly distributed Uniform
listing_id has unique values Unique
host_total_listings_count has 3461 (6.3%) zeros Zeros
bedrooms has 3360 (6.1%) zeros Zeros
beds has 1697 (3.1%) zeros Zeros

Reproduction

Analysis started2022-08-08 13:45:53.026498
Analysis finished2022-08-08 13:46:28.787605
Duration35.76 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct54042
Distinct (%)97.8%
Missing14
Missing (%)< 0.1%
Memory size432.0 KiB
Double room
 
28
Centrally Located Tower Hill/Aldagte East Studios
 
17
Luxury 3 Bed Two Minutes from Shoreditch Station
 
16
Luxury 2 bedroom in Central London
 
15
Single room
 
14
Other values (54037)
55180 
ValueCountFrequency (%) 
Double room280.1%
 
Centrally Located Tower Hill/Aldagte East Studios17< 0.1%
 
Luxury 3 Bed Two Minutes from Shoreditch Station16< 0.1%
 
Luxury 2 bedroom in Central London15< 0.1%
 
Single room14< 0.1%
 
Double bedroom12< 0.1%
 
Brick Lane Shoreditch Sanctuary12< 0.1%
 
Luxury 2 Bed In Maida Vale, Near Paddington 12< 0.1%
 
Home away from home11< 0.1%
 
Greater London Apartment11< 0.1%
 
Double Room11< 0.1%
 
Luxury 2 Bed Apartment in Kensington Near Olympia10< 0.1%
 
Luxury 2 Bed In Fulham Next To Fulham Broadway10< 0.1%
 
Stunning Shoreditch High Street Studio10< 0.1%
 
London Multi-unit building9< 0.1%
 
Superhost's Luxury London Flat9< 0.1%
 
Split Level 3 Bed In Maida Vale, Near Paddington 9< 0.1%
 
Brick Lane Shoreditch Apartment8< 0.1%
 
Centrally Located Aldgate East Studios8< 0.1%
 
Brick Lane Shoreditch Studio8< 0.1%
 
Home8< 0.1%
 
Single Room8< 0.1%
 
Home sweet home7< 0.1%
 
Central London Apartment7< 0.1%
 
Home Away From Home7< 0.1%
 
Other values (54017)5499399.5%
 
(Missing)14< 0.1%
 
2022-08-08T15:46:28.892601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique53308 ?
Unique (%)96.5%
2022-08-08T15:46:28.946069image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length255
Median length41
Mean length38.82924535
Min length1

Overview of Unicode Properties

Unique unicode characters582
Unique unicode categories20 ?
Unique unicode scripts8 ?
Unique unicode blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
30335714.1%
 
o1699497.9%
 
e1655077.7%
 
n1326486.2%
 
t1243665.8%
 
a1167015.4%
 
r1099545.1%
 
i1046134.9%
 
l773443.6%
 
d658343.1%
 
s574302.7%
 
m570272.7%
 
u533392.5%
 
h418982.0%
 
b310301.4%
 
c307881.4%
 
y285421.3%
 
g283261.3%
 
f263171.2%
 
p252931.2%
 
L248791.2%
 
S241871.1%
 
B241551.1%
 
C213541.0%
 
w176580.8%
 
Other values (557)28414013.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter149700069.7%
 
Space Separator30341314.1%
 
Uppercase Letter26904412.5%
 
Decimal Number311611.5%
 
Other Punctuation291431.4%
 
Dash Punctuation86220.4%
 
Close Punctuation22280.1%
 
Open Punctuation21460.1%
 
Math Symbol14260.1%
 
Other Symbol990< 0.1%
 
Other Letter970< 0.1%
 
Final Punctuation216< 0.1%
 
Nonspacing Mark100< 0.1%
 
Currency Symbol96< 0.1%
 
Connector Punctuation26< 0.1%
 
Modifier Symbol19< 0.1%
 
Initial Punctuation17< 0.1%
 
Other Number11< 0.1%
 
Modifier Letter7< 0.1%
 
Control1< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
L248799.2%
 
S241879.0%
 
B241559.0%
 
C213547.9%
 
A164286.1%
 
R158185.9%
 
E150045.6%
 
H124164.6%
 
T121564.5%
 
N116154.3%
 
D113134.2%
 
O112494.2%
 
F106233.9%
 
P105023.9%
 
M87763.3%
 
W71962.7%
 
G71312.7%
 
I69522.6%
 
V44581.7%
 
K38741.4%
 
U31941.2%
 
Y17180.6%
 
Z16680.6%
 
Q12340.5%
 
X5700.2%
 
Other values (8)5740.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o16994911.4%
 
e16550711.1%
 
n1326488.9%
 
t1243668.3%
 
a1167017.8%
 
r1099547.3%
 
i1046137.0%
 
l773445.2%
 
d658344.4%
 
s574303.8%
 
m570273.8%
 
u533393.6%
 
h418982.8%
 
b310302.1%
 
c307882.1%
 
y285421.9%
 
g283261.9%
 
f263171.8%
 
p252931.7%
 
w176581.2%
 
v120580.8%
 
k89540.6%
 
x59420.4%
 
z34200.2%
 
q16090.1%
 
Other values (37)453< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
303357> 99.9%
 
 56< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
21063434.1%
 
1824126.4%
 
3358711.5%
 
521837.0%
 
421807.0%
 
019066.1%
 
68802.8%
 
85971.9%
 
74951.6%
 
94581.5%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-859799.7%
 
–200.2%
 
—4< 0.1%
 
‑1< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,1080737.1%
 
.414614.2%
 
/364412.5%
 
&335611.5%
 
!327011.2%
 
*13654.7%
 
'12154.2%
 
:3881.3%
 
%2791.0%
 
@1750.6%
 
"1750.6%
 
#1200.4%
 
;620.2%
 
•530.2%
 
?250.1%
 
·230.1%
 
･180.1%
 
､10< 0.1%
 
\6< 0.1%
 
｡5< 0.1%
 
…1< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)219698.6%
 
]231.0%
 
}50.2%
 
】40.2%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(211598.6%
 
[221.0%
 
{50.2%
 
【40.2%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
+72851.1%
 
|60142.1%
 
~453.2%
 
>181.3%
 
<171.2%
 
=50.4%
 
￫40.3%
 
∞20.1%
 
⋘20.1%
 
⋙20.1%
 
⫷10.1%
 
⫸10.1%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
`1263.2%
 
´526.3%
 
^210.5%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’20293.5%
 
”146.5%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
敦282.9%
 
公272.8%
 
寓252.6%
 
房232.4%
 
伦232.4%
 
区181.9%
 
的171.8%
 
中161.6%
 
人141.4%
 
心131.3%
 
间111.1%
 
租111.1%
 
一111.1%
 
地111.1%
 
高101.0%
 
小101.0%
 
学101.0%
 
金90.9%
 
分90.9%
 
利90.9%
 
大90.9%
 
生90.9%
 
便80.8%
 
河70.7%
 
舒70.7%
 
Other values (340)62564.4%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★45946.4%
 
⭐12012.1%
 
❤717.2%
 
✪686.9%
 
☼686.9%
 
☆545.5%
 
♥333.3%
 
☀191.9%
 
➔121.2%
 
♡80.8%
 
✨80.8%
 
°70.7%
 
✮70.7%
 
✈70.7%
 
№60.6%
 
♛50.5%
 
✧40.4%
 
⚡30.3%
 
❀20.2%
 
❈20.2%
 
✩20.2%
 
✅20.2%
 
♣20.2%
 
❣20.2%
 
♠20.2%
 
Other values (16)171.7%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
“1482.4%
 
‘317.6%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️100100.0%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£9497.9%
 
¥22.1%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
²218.2%
 
₂218.2%
 
₆19.1%
 
½19.1%
 
³19.1%
 
₄19.1%
 
₁19.1%
 
¹19.1%
 
₈19.1%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_26100.0%
 

Most frequent Control characters

ValueCountFrequency (%) 
1100.0%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ457.1%
 
ｰ228.6%
 
ﾟ114.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin176599082.3%
 
Common37952417.7%
 
Han876< 0.1%
 
Inherited100< 0.1%
 
Cyrillic55< 0.1%
 
Hangul52< 0.1%
 
Katakana28< 0.1%
 
Hiragana11< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o1699499.6%
 
e1655079.4%
 
n1326487.5%
 
t1243667.0%
 
a1167016.6%
 
r1099546.2%
 
i1046135.9%
 
l773444.4%
 
d658343.7%
 
s574303.3%
 
m570273.2%
 
u533393.0%
 
h418982.4%
 
b310301.8%
 
c307881.7%
 
y285421.6%
 
g283261.6%
 
f263171.5%
 
p252931.4%
 
L248791.4%
 
S241871.4%
 
B241551.4%
 
C213541.2%
 
w176581.0%
 
A164280.9%
 
Other values (47)19042310.8%
 

Most frequent Common characters

ValueCountFrequency (%) 
30335779.9%
 
,108072.8%
 
2106342.8%
 
-85972.3%
 
182412.2%
 
.41461.1%
 
/36441.0%
 
335870.9%
 
&33560.9%
 
!32700.9%
 
)21960.6%
 
521830.6%
 
421800.6%
 
(21150.6%
 
019060.5%
 
*13650.4%
 
'12150.3%
 
68800.2%
 
+7280.2%
 
|6010.2%
 
85970.2%
 
74950.1%
 
★4590.1%
 
94580.1%
 
:3880.1%
 
Other values (97)21190.6%
 

Most frequent Han characters

ValueCountFrequency (%) 
敦283.2%
 
公273.1%
 
寓252.9%
 
房232.6%
 
伦232.6%
 
区182.1%
 
的171.9%
 
中161.8%
 
人141.6%
 
心131.5%
 
间111.3%
 
租111.3%
 
一111.3%
 
地111.3%
 
高101.1%
 
小101.1%
 
学101.1%
 
金91.0%
 
分91.0%
 
利91.0%
 
大91.0%
 
生91.0%
 
便80.9%
 
河70.8%
 
舒70.8%
 
Other values (272)53160.6%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️100100.0%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
а1120.0%
 
е712.7%
 
о47.3%
 
д35.5%
 
т35.5%
 
м35.5%
 
и35.5%
 
С23.6%
 
с23.6%
 
я23.6%
 
н23.6%
 
в23.6%
 
з11.8%
 
к11.8%
 
р11.8%
 
л11.8%
 
п11.8%
 
ы11.8%
 
А11.8%
 
Р11.8%
 
ж11.8%
 
Н11.8%
 
Г11.8%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ﾝ414.3%
 
ｽ310.7%
 
ﾊ27.1%
 
ﾙ27.1%
 
ﾄ27.1%
 
ﾗ27.1%
 
ｼ27.1%
 
ﾌ27.1%
 
ﾑ13.6%
 
ｷ13.6%
 
ﾚ13.6%
 
ｲ13.6%
 
ﾛ13.6%
 
ｾ13.6%
 
ｪ13.6%
 
ｯ13.6%
 
ｭ13.6%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の218.2%
 
な218.2%
 
き19.1%
 
よ19.1%
 
り19.1%
 
と19.1%
 
ら19.1%
 
す19.1%
 
さ19.1%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
실35.8%
 
고35.8%
 
아35.8%
 
단23.8%
 
하23.8%
 
리23.8%
 
한23.8%
 
기23.8%
 
개11.9%
 
인11.9%
 
독11.9%
 
욕11.9%
 
화11.9%
 
장11.9%
 
깨11.9%
 
끗11.9%
 
교11.9%
 
통11.9%
 
편11.9%
 
럭11.9%
 
셔11.9%
 
파11.9%
 
트11.9%
 
런11.9%
 
던11.9%
 
Other values (16)1630.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII214376799.9%
 
CJK876< 0.1%
 
Misc Symbols658< 0.1%
 
None592< 0.1%
 
Punctuation312< 0.1%
 
Dingbats192< 0.1%
 
VS100< 0.1%
 
Cyrillic55< 0.1%
 
Hangul52< 0.1%
 
Hiragana11< 0.1%
 
Letterlike Symbols9< 0.1%
 
Math Operators6< 0.1%
 
Geometric Shapes4< 0.1%
 
Sup Math Operators2< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
30335714.2%
 
o1699497.9%
 
e1655077.7%
 
n1326486.2%
 
t1243665.8%
 
a1167015.4%
 
r1099545.1%
 
i1046134.9%
 
l773443.6%
 
d658343.1%
 
s574302.7%
 
m570272.7%
 
u533392.5%
 
h418982.0%
 
b310301.4%
 
c307881.4%
 
y285421.3%
 
g283261.3%
 
f263171.2%
 
p252931.2%
 
L248791.2%
 
S241871.1%
 
B241551.1%
 
C213541.0%
 
w176580.8%
 
Other values (70)28127113.1%
 

Most frequent None characters

ValueCountFrequency (%) 
⭐12020.3%
 
ô9816.6%
 
£9415.9%
 
 569.5%
 
à284.7%
 
·233.9%
 
é193.2%
 
･183.0%
 
ó132.2%
 
､101.7%
 
è81.4%
 
°71.2%
 
´50.8%
 
İ50.8%
 
｡50.8%
 
【40.7%
 
】40.7%
 
￫40.7%
 
ﾞ40.7%
 
ﾝ40.7%
 
º30.5%
 
ç30.5%
 
ｽ30.5%
 
â20.3%
 
²20.3%
 
Other values (39)508.4%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’20264.7%
 
•5317.0%
 
–206.4%
 
“144.5%
 
”144.5%
 
—41.3%
 
‘31.0%
 
‑10.3%
 
…10.3%
 

Most frequent CJK characters

ValueCountFrequency (%) 
敦283.2%
 
公273.1%
 
寓252.9%
 
房232.6%
 
伦232.6%
 
区182.1%
 
的171.9%
 
中161.8%
 
人141.6%
 
心131.5%
 
间111.3%
 
租111.3%
 
一111.3%
 
地111.3%
 
高101.1%
 
小101.1%
 
学101.1%
 
金91.0%
 
分91.0%
 
利91.0%
 
大91.0%
 
生91.0%
 
便80.9%
 
河70.8%
 
舒70.8%
 
Other values (272)53160.6%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★45969.8%
 
☼6810.3%
 
☆548.2%
 
♥335.0%
 
☀192.9%
 
♡81.2%
 
♛50.8%
 
⚡30.5%
 
♣20.3%
 
♠20.3%
 
☕10.2%
 
☘10.2%
 
☞10.2%
 
⚘10.2%
 
☛10.2%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
❤7137.0%
 
✪6835.4%
 
➔126.2%
 
✨84.2%
 
✮73.6%
 
✈73.6%
 
✧42.1%
 
❀21.0%
 
❈21.0%
 
✩21.0%
 
✅21.0%
 
❣21.0%
 
➕10.5%
 
➽10.5%
 
❥10.5%
 
❢10.5%
 
✯10.5%
 

Most frequent VS characters

ValueCountFrequency (%) 
️100100.0%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
а1120.0%
 
е712.7%
 
о47.3%
 
д35.5%
 
т35.5%
 
м35.5%
 
и35.5%
 
С23.6%
 
с23.6%
 
я23.6%
 
н23.6%
 
в23.6%
 
з11.8%
 
к11.8%
 
р11.8%
 
л11.8%
 
п11.8%
 
ы11.8%
 
А11.8%
 
Р11.8%
 
ж11.8%
 
Н11.8%
 
Г11.8%
 

Most frequent Letterlike Symbols characters

ValueCountFrequency (%) 
№666.7%
 
ℒ222.2%
 
™111.1%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
∞233.3%
 
⋘233.3%
 
⋙233.3%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の218.2%
 
な218.2%
 
き19.1%
 
よ19.1%
 
り19.1%
 
と19.1%
 
ら19.1%
 
す19.1%
 
さ19.1%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
●250.0%
 
►125.0%
 
◄125.0%
 

Most frequent Sup Math Operators characters

ValueCountFrequency (%) 
⫷150.0%
 
⫸150.0%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
실35.8%
 
고35.8%
 
아35.8%
 
단23.8%
 
하23.8%
 
리23.8%
 
한23.8%
 
기23.8%
 
개11.9%
 
인11.9%
 
독11.9%
 
욕11.9%
 
화11.9%
 
장11.9%
 
깨11.9%
 
끗11.9%
 
교11.9%
 
통11.9%
 
편11.9%
 
럭11.9%
 
셔11.9%
 
파11.9%
 
트11.9%
 
런11.9%
 
던11.9%
 
Other values (16)1630.8%
 

summary
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct49111
Distinct (%)93.8%
Missing2954
Missing (%)5.3%
Memory size432.0 KiB
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in
 
125
Are you a cool person? Are you looking to stay in the most vibrant and eclectic neighborhood in London? So you just found the right place! This place is situated in the heart of Brick Lane with a lot to do! Many restaurant options and attractions near by, great for tourists and street art lovers. Nearest tube station is Aldgate East (8min walk). Also easy access to Shoreditch High Street Station and Liverpool Street Station.
 
23
We at Be London Apartments pride ourselves on securing prime locations in the city - all of which evoke a true ‘home away from home’ feeling. We are proud to offer our guests such a wide selection of top-quality properties across London - all of which are underpinned with hotel-standard hospitality services. Each apartment is designed and managed by our team, so you’ll always know what to expect from your stay. With a centrally located reception to all our properties, our friendly staff are just a drop in, call, (Hidden by Airbnb) or email away. Arrive to 5 star hotel-standard cleanliness, Nespresso machines, toiletries, and fresh linen. Our hospitality team can handle any airport shuttle services, theatre tickets, wellness services, local recommendations & your free luggage storage. Any extra requests? Let us know.
 
22
Lovely studios situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building The studios are located just a stone throw away from iconic landmarks such as the Tower bridge, St. Katherine’s docks, London Bridge and other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton.
 
21
.
 
20
Other values (49106)
52119 
ValueCountFrequency (%) 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in1250.2%
 
Are you a cool person? Are you looking to stay in the most vibrant and eclectic neighborhood in London? So you just found the right place! This place is situated in the heart of Brick Lane with a lot to do! Many restaurant options and attractions near by, great for tourists and street art lovers. Nearest tube station is Aldgate East (8min walk). Also easy access to Shoreditch High Street Station and Liverpool Street Station.23< 0.1%
 
We at Be London Apartments pride ourselves on securing prime locations in the city - all of which evoke a true ‘home away from home’ feeling. We are proud to offer our guests such a wide selection of top-quality properties across London - all of which are underpinned with hotel-standard hospitality services. Each apartment is designed and managed by our team, so you’ll always know what to expect from your stay. With a centrally located reception to all our properties, our friendly staff are just a drop in, call, (Hidden by Airbnb) or email away. Arrive to 5 star hotel-standard cleanliness, Nespresso machines, toiletries, and fresh linen. Our hospitality team can handle any airport shuttle services, theatre tickets, wellness services, local recommendations & your free luggage storage. Any extra requests? Let us know.22< 0.1%
 
Lovely studios situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building The studios are located just a stone throw away from iconic landmarks such as the Tower bridge, St. Katherine’s docks, London Bridge and other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton.21< 0.1%
 
.20< 0.1%
 
My place is good for couples, solo adventurers, and business travellers.18< 0.1%
 
Each newly refurbished room has a warm and welcoming atmosphere & features modern interior designs. Relax and unwind in the soothing atmosphere. The rooms are furnished with wall to wall carpeting & trendy furnishings. Our ultramodern bathroom is equipped with all the amenities you could possibly need during your stay. Every room has a 40" flat screen TV with freeview, we also have USB sockets to keep all of your portable devices fully charged, whilst connected to our free WiFi -in every room!18< 0.1%
 
My Luxury Two Bedroom apartment is located minutes walk from St. Pauls Cathedral in Central London. The apartment is fully equipped with everything required in an apartment with all the essentials for a home away from home experience. The apartment is located in a private block of four apartments which I manage with my family. This apartment is suitable for tourists and those needing a place to stay for business, as well as those relocating and needing a place for short term.17< 0.1%
 
Modern studio in the heart of London. Save money and time walking to the Buckingham Palace, Big Ben, London Eye, Saatchi Gallery, etc. Clean and bright, the studio is recently renovated as you can see in the photos. The Victoria coach, train and underground stations are less than 10 minutes walking distance. You will find nine different nationalities of food in less the 300 m walking distance from the door.16< 0.1%
 
This studio flat is located in Chelsea Cloisters on Sloane Avenue in Chelsea. The flat benefits from 24/hr concierge, lift access, daily cleaning and a kitchen. Sloane Avenue is located 5 minutes from South Kensington and 10 minutes from Sloane Square where guests can enjoy plenty of shops, restaurants, bars and cafes, museums and Royal Albert Hall all within a 10 minute walk. WIFI is NOT free - Vouchers can be purchased at reception Photos are an example of the apartment you will be allocated14< 0.1%
 
My two bedroom apartment in Notting Hill is on the borders of the Royal Borough of Kensington, the apartment is situated in Westminster Borough. The location is ideal as all of the sights and shops of London are just a short tube ride away. Alternatively you may like to explore Notting Hill and Westbourne areas, which are just on your door step.14< 0.1%
 
- 2 minutes walk to Farringdon Station - 13sqm - Exclusive high speed Wi-Fi router in studio - Small private shower room pod - Full functional kitchen - Desk space - Gym, laundry available on site14< 0.1%
 
*When sending an inquiry or placing a booking request, please include as many details about yourself and the people you are traveling with. Who are you? What do you do for a living? What brings you to the city? Have you read through the strict flat policies and do you intend to respect them? **Remember a fully-refundable £800 damage deposit will be held to cover damage, breakage of rules, loss of keys, etc.** 6 GUESTS MAXIMUM INCLUDING CHILDREN AND INFANTS14< 0.1%
 
We are pleased to present wonderfully presented, incredibly spacious & luxury apartment. The apartment block has been recently built, with all units meeting an extremely high standard incorporating a fully equipped kitchen (provisions include plates, cups & cutlery), dining areas, storage facilities and a private en suite bathroom. Entertainment on offer is in the form of a 32+ inch Plasma television, super-fast broadband, and a series of on demand services.13< 0.1%
 
Situated in South Kensington, this apartment is comfortable and accommodating, ideal for people visiting local institutions such as Imperial College or The Royal College of Art, or for professionals looking for a pied-à-terre. Excellently located, Gloucester Road and South Kensington tube stations, as well as the pleasantries of Fulham Road are all within less than a 5 minutes walk. All tenants benefit from a dedicated Building Manager who is on hand to assist with any property related issues.13< 0.1%
 
A Fantastic Studio flat in the heart of Gloucester Road. It has everything you would possibly want to make your stay more comfortable.Luxurious double bed. TV to keep you entertained at night when you come home from a long day and little touches of home to make nights in more cosy and comfortable.12< 0.1%
 
Located in London, London Queen's Park Apartment provides accommodation with a flat-screen TV. Free WiFi is provided.The units have a fully equipped kitchenette with an oven and a microwave. There is also a toaster, fridge and a kettle.Private (Website hidden by Airbnb) and Facilities Fan Heating Private entrance Hardwood/Parquet floors Wardrobe/Closet Cleaning products Drying rack for clothing Sofa bed Hairdryer Free toiletries Kitchenette Refrigerator Microwave • Electric kettle Towels12< 0.1%
 
Situated in Edgware, 4 miles from Wembley Stadium. It features a restaurant and free high-speed WiFi Certain units have a seating area to relax in after a busy day. Every room comes with either a single or a double bunked and a private bathroom 24-hour front desk, bike storage, luggage storage and shops. Work spaces and a cinema available. On-site laundry is available for a fee. Colindale Park is 1.6 miles away, Allianz Park is 2.2 miles away. London Heathrow Airport is 12.4 miles away12< 0.1%
 
This private self-contained double studio flat is set in the heart of beautiful Belsize Park. Within the flat there is a double bed, private shower room, fully equipped kitchen with all main utensils provided, as well as a desk/workspace and television. The flat is supplied with a full set of clean bed linen and towels.11< 0.1%
 
Crawford Suites Apartment are set in a vibrant area in Central London, a 5-minute walk to Oxford Street / Hyde Park. These luxurious serviced apartment offers free Wi-Fi and Air Conditioning with fully furnished kitchen with a microwave, refrigerator and washing machine. There is also a flat-screen TV in the master bedroom & lounge. You’ll love my place because of the location, the people. My place is good for couples, solo adventurers, business travellers, families (with kids), and big groups.11< 0.1%
 
A spacious private bedroom with a shared fully fitted kitchen, wood flooring, double glazing. Situated in the ever popular Drummond Street & within walking distance to transport links of Euston & Warren St, all amenities of Tottenham Court Road & University College of London ( UCL ). Euston is both a train station and a Tube station and just 4 minutes away from our apartment. Euston Square Underground Station is just 2 mins away. London Euston is directly connected to several major UK cities.11< 0.1%
 
Located in the heart of the West End on Shaftesbury Avenue. This modern studio space includes a fully fitted contemporary kitchenette, a double bed, TV, storage space, lots of natural light and a shower room. We have 15 Vernon House apartments. Furniture and colours may vary between apartments. Internet fair usage policy in operation. Data not to exceed 1.5 GB per day.11< 0.1%
 
My Luxury Three Bedroom apartment is located minutes walk from Shoreditch High Street station or Old Street station. The apartment is fully equipped with everything required in an apartment with all the essentials for a home away from home experience. The apartment is located in a private block of five apartments which I manage with my family. This apartment is suitable for tourists and those needing a place to stay for business, as well as those relocating and needing a place for short term.11< 0.1%
 
A lovely share apartment in Acton! You will adore it! Our flat is perfect for solo adventurers, young professionals and students! n- Brightness and comfort n- Excellent location and connection n- Just refurbished n- 7 minutes walking distance from Acton Central Station11< 0.1%
 
Set in London, Roland House offers free WiFi and city views, 0.8 miles from Royal Albert Hall. The accommodation comes with a fully equipped kitchen with a microwave and kettle, a flat-screen TV and a private bathroom with bath and shower. At the aparthotel guests are welcome to take advantage of a hot tub and a sauna. Kensington and Chelsea is a great choice for travellers interested in architecture, monuments and entertainment.11< 0.1%
 
Other values (49086)5185593.8%
 
(Missing)29545.3%
 
2022-08-08T15:46:29.068743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique47310 ?
Unique (%)90.4%
2022-08-08T15:46:29.123489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length338
Mean length326.1584003
Min length1

Overview of Unicode Properties

Unique unicode characters1680
Unique unicode categories21 ?
Unique unicode scripts10 ?
Unique unicode blocks17 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
304202116.9%
 
e14892228.3%
 
o12186046.8%
 
a12002786.7%
 
t11714336.5%
 
n10555955.9%
 
i9584195.3%
 
r9169325.1%
 
s8409364.7%
 
l6614253.7%
 
d5550293.1%
 
h5132772.8%
 
u4324622.4%
 
c3751542.1%
 
m3566932.0%
 
f3087611.7%
 
p2539791.4%
 
b2481841.4%
 
y2456661.4%
 
g2438201.4%
 
w2316741.3%
 
.1818941.0%
 
,1669710.9%
 
k1370090.8%
 
v1263590.7%
 
Other values (1655)10995446.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1362935675.6%
 
Space Separator304237416.9%
 
Uppercase Letter6933353.8%
 
Other Punctuation4215532.3%
 
Decimal Number1458090.8%
 
Dash Punctuation368020.2%
 
Close Punctuation205460.1%
 
Open Punctuation196750.1%
 
Other Letter99780.1%
 
Final Punctuation6905< 0.1%
 
Math Symbol2336< 0.1%
 
Currency Symbol919< 0.1%
 
Other Symbol724< 0.1%
 
Control308< 0.1%
 
Initial Punctuation300< 0.1%
 
Modifier Symbol134< 0.1%
 
Modifier Letter81< 0.1%
 
Nonspacing Mark79< 0.1%
 
Connector Punctuation68< 0.1%
 
Format30< 0.1%
 
Other Number29< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
T7324910.6%
 
L6907910.0%
 
S600388.7%
 
C501167.2%
 
B379805.5%
 
A366065.3%
 
W359665.2%
 
E327614.7%
 
P314544.5%
 
I311634.5%
 
H288124.2%
 
O257043.7%
 
R249553.6%
 
M233083.4%
 
N218893.2%
 
F208063.0%
 
G175472.5%
 
V169892.5%
 
D153562.2%
 
K127561.8%
 
Y85731.2%
 
U77281.1%
 
J43800.6%
 
Q31480.5%
 
Z23130.3%
 
Other values (19)6590.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e148922210.9%
 
o12186048.9%
 
a12002788.8%
 
t11714338.6%
 
n10555957.7%
 
i9584197.0%
 
r9169326.7%
 
s8409366.2%
 
l6614254.9%
 
d5550294.1%
 
h5132773.8%
 
u4324623.2%
 
c3751542.8%
 
m3566932.6%
 
f3087612.3%
 
p2539791.9%
 
b2481841.8%
 
y2456661.8%
 
g2438201.8%
 
w2316741.7%
 
k1370091.0%
 
v1263590.9%
 
x324210.2%
 
q248420.2%
 
j154680.1%
 
Other values (68)157140.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
3042021> 99.9%
 
 350< 0.1%
 
 2< 0.1%
 
 1< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.18189443.1%
 
,16697139.6%
 
'158283.8%
 
!141103.3%
 
&129553.1%
 
/127713.0%
 
*57781.4%
 
:56841.3%
 
;21360.5%
 
•9610.2%
 
"9510.2%
 
?6850.2%
 
%2860.1%
 
｡2210.1%
 
#87< 0.1%
 
､80< 0.1%
 
…43< 0.1%
 
@41< 0.1%
 
\22< 0.1%
 
※16< 0.1%
 
·16< 0.1%
 
‣11< 0.1%
 
･3< 0.1%
 
¡1< 0.1%
 
″1< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
13320822.8%
 
23208622.0%
 
02307415.8%
 
52059514.1%
 
3130298.9%
 
498596.8%
 
742772.9%
 
638072.6%
 
836582.5%
 
922161.5%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-3640798.9%
 
–3180.9%
 
—760.2%
 
‑1< 0.1%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(1959399.6%
 
[490.2%
 
【280.1%
 
《3< 0.1%
 
{2< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)2046199.6%
 
]500.2%
 
】270.1%
 
}5< 0.1%
 
》3< 0.1%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£89797.6%
 
$141.5%
 
₤40.4%
 
€30.3%
 
¢10.1%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’676798.0%
 
”1331.9%
 
»50.1%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
´6246.3%
 
`3324.6%
 
¨3022.4%
 
^96.7%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
+124953.5%
 
=54323.2%
 
>1928.2%
 
~1486.3%
 
￫843.6%
 
|582.5%
 
<502.1%
 
×50.2%
 
￬40.2%
 
¬20.1%
 
⋯1< 0.1%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
的1691.7%
 
房1481.5%
 
有1321.3%
 
分1201.2%
 
一1001.0%
 
钟971.0%
 
地910.9%
 
站820.8%
 
行790.8%
 
到780.8%
 
大780.8%
 
间770.8%
 
人730.7%
 
中690.7%
 
和640.6%
 
公640.6%
 
是640.6%
 
可630.6%
 
小610.6%
 
敦600.6%
 
步590.6%
 
伦580.6%
 
市570.6%
 
区570.6%
 
י570.6%
 
Other values (1394)792179.4%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★25735.5%
 
✔13118.1%
 
✓567.7%
 
⭐496.8%
 
✅456.2%
 
☆395.4%
 
●304.1%
 
❤253.5%
 
♥162.2%
 
✨111.5%
 
°91.2%
 
♦91.2%
 
☺60.8%
 
⚪50.7%
 
®50.7%
 
♡50.7%
 
✴40.6%
 
￮40.6%
 
✈30.4%
 
⚠20.3%
 
❣20.3%
 
➕20.3%
 
☕20.3%
 
㎡10.1%
 
♀10.1%
 
Other values (5)50.7%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
‘19464.7%
 
“10635.3%
 

Most frequent Control characters

ValueCountFrequency (%) 
308100.0%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
²2793.1%
 
½26.9%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_68100.0%
 

Most frequent Format characters

ValueCountFrequency (%) 
­2273.3%
 
‍310.0%
 
‪13.3%
 
‬13.3%
 
13.3%
 
‭13.3%
 
‏13.3%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️79100.0%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ4251.9%
 
ｰ3138.3%
 
ﾟ89.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1432207879.4%
 
Common369859020.5%
 
Han7803< 0.1%
 
Hangul1133< 0.1%
 
Cyrillic613< 0.1%
 
Hebrew465< 0.1%
 
Hiragana302< 0.1%
 
Katakana229< 0.1%
 
Inherited82< 0.1%
 
Arabic46< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e148922210.4%
 
o12186048.5%
 
a12002788.4%
 
t11714338.2%
 
n10555957.4%
 
i9584196.7%
 
r9169326.4%
 
s8409365.9%
 
l6614254.6%
 
d5550293.9%
 
h5132773.6%
 
u4324623.0%
 
c3751542.6%
 
m3566932.5%
 
f3087612.2%
 
p2539791.8%
 
b2481841.7%
 
y2456661.7%
 
g2438201.7%
 
w2316741.6%
 
k1370091.0%
 
v1263590.9%
 
T732490.5%
 
L690790.5%
 
S600380.4%
 
Other values (72)5788014.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
304202182.2%
 
.1818944.9%
 
,1669714.5%
 
-364071.0%
 
1332080.9%
 
2320860.9%
 
0230740.6%
 
5205950.6%
 
)204610.6%
 
(195930.5%
 
'158280.4%
 
!141100.4%
 
3130290.4%
 
&129550.4%
 
/127710.3%
 
498590.3%
 
’67670.2%
 
*57780.2%
 
:56840.2%
 
742770.1%
 
638070.1%
 
836580.1%
 
922160.1%
 
;21360.1%
 
+1249< 0.1%
 
Other values (97)81560.2%
 

Most frequent Han characters

ValueCountFrequency (%) 
的1692.2%
 
房1481.9%
 
有1321.7%
 
分1201.5%
 
一1001.3%
 
钟971.2%
 
地911.2%
 
站821.1%
 
行791.0%
 
到781.0%
 
大781.0%
 
间771.0%
 
人730.9%
 
中690.9%
 
和640.8%
 
公640.8%
 
是640.8%
 
可630.8%
 
小610.8%
 
敦600.8%
 
步590.8%
 
伦580.7%
 
市570.7%
 
区570.7%
 
我550.7%
 
Other values (988)574873.7%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е9415.3%
 
о6310.3%
 
а569.1%
 
и426.9%
 
с355.7%
 
т335.4%
 
н325.2%
 
в315.1%
 
м294.7%
 
д223.6%
 
л213.4%
 
р182.9%
 
я152.4%
 
ь152.4%
 
к111.8%
 
п111.8%
 
х101.6%
 
у101.6%
 
ж91.5%
 
й81.3%
 
ы81.3%
 
ш50.8%
 
б40.7%
 
Р40.7%
 
В30.5%
 
Other values (15)243.9%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다423.7%
 
니383.4%
 
한373.3%
 
가322.8%
 
에312.7%
 
어272.4%
 
이242.1%
 
국221.9%
 
는221.9%
 
안201.8%
 
고191.7%
 
서191.7%
 
던181.6%
 
내161.4%
 
런161.4%
 
있151.3%
 
지151.3%
 
분141.2%
 
능141.2%
 
로131.1%
 
하131.1%
 
아131.1%
 
합121.1%
 
인121.1%
 
도111.0%
 
Other values (250)61854.5%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️7996.3%
 
‍33.7%
 

Most frequent Hebrew characters

ValueCountFrequency (%) 
י5712.3%
 
ו5411.6%
 
ר429.0%
 
ה296.2%
 
ל286.0%
 
ב286.0%
 
ת275.8%
 
ד265.6%
 
ק245.2%
 
ח173.7%
 
נ173.7%
 
א163.4%
 
ט153.2%
 
מ122.6%
 
ש102.2%
 
פ91.9%
 
ס91.9%
 
ן81.7%
 
כ81.7%
 
ם81.7%
 
ע71.5%
 
ג71.5%
 
צ61.3%
 
ז10.2%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の289.3%
 
で268.6%
 
す227.3%
 
に186.0%
 
ま186.0%
 
い165.3%
 
り144.6%
 
あ113.6%
 
も113.6%
 
お103.3%
 
な103.3%
 
と103.3%
 
る93.0%
 
は82.6%
 
が82.6%
 
て72.3%
 
か62.0%
 
ら62.0%
 
し62.0%
 
く51.7%
 
さ51.7%
 
き41.3%
 
ご41.3%
 
そ31.0%
 
ど31.0%
 
Other values (20)3411.3%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ﾝ2510.9%
 
ｽ2410.5%
 
ﾄ187.9%
 
ｯ135.7%
 
ﾌ114.8%
 
ｸ104.4%
 
ﾙ104.4%
 
ｼ93.9%
 
ﾘ83.5%
 
ｪ73.1%
 
ﾊ73.1%
 
ﾑ73.1%
 
ﾋ73.1%
 
ｲ62.6%
 
ﾛ52.2%
 
ﾀ52.2%
 
ﾗ52.2%
 
ｷ52.2%
 
ﾍ52.2%
 
ﾁ41.7%
 
ｶ41.7%
 
ﾚ31.3%
 
ｳ31.3%
 
ｻ31.3%
 
ｹ20.9%
 
Other values (18)2310.0%
 

Most frequent Arabic characters

ValueCountFrequency (%) 
ر510.9%
 
م510.9%
 
ا48.7%
 
ي48.7%
 
ن48.7%
 
ع36.5%
 
غ24.3%
 
ف24.3%
 
ة24.3%
 
ش24.3%
 
ت24.3%
 
د24.3%
 
ق24.3%
 
ل24.3%
 
خ12.2%
 
ص12.2%
 
ح12.2%
 
ك12.2%
 
ب12.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1800795099.9%
 
Punctuation8638< 0.1%
 
CJK7803< 0.1%
 
None3649< 0.1%
 
Hangul1131< 0.1%
 
Cyrillic613< 0.1%
 
Hebrew465< 0.1%
 
Misc Symbols344< 0.1%
 
Hiragana302< 0.1%
 
Dingbats280< 0.1%
 
VS79< 0.1%
 
Arabic46< 0.1%
 
Geometric Shapes30< 0.1%
 
Currency Symbols7< 0.1%
 
Compat Jamo2< 0.1%
 
Math Operators1< 0.1%
 
CJK Compat1< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
304202116.9%
 
e14892228.3%
 
o12186046.8%
 
a12002786.7%
 
t11714336.5%
 
n10555955.9%
 
i9584195.3%
 
r9169325.1%
 
s8409364.7%
 
l6614253.7%
 
d5550293.1%
 
h5132772.9%
 
u4324622.4%
 
c3751542.1%
 
m3566932.0%
 
f3087611.7%
 
p2539791.4%
 
b2481841.4%
 
y2456661.4%
 
g2438201.4%
 
w2316741.3%
 
.1818941.0%
 
,1669710.9%
 
k1370090.8%
 
v1263590.7%
 
Other values (71)10761536.0%
 

Most frequent None characters

ValueCountFrequency (%) 
£89724.6%
 
é77821.3%
 
 3509.6%
 
｡2216.1%
 
à1534.2%
 
è1083.0%
 
￫842.3%
 
､802.2%
 
ó631.7%
 
´621.7%
 
⭐491.3%
 
ﾞ421.2%
 
á411.1%
 
ñ320.9%
 
ｰ310.8%
 
¨300.8%
 
【280.8%
 
ç270.7%
 
²270.7%
 
】270.7%
 
ﾝ250.7%
 
í240.7%
 
ｽ240.7%
 
­220.6%
 
ﾄ180.5%
 
Other values (95)40611.1%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’676778.3%
 
•96111.1%
 
–3183.7%
 
‘1942.2%
 
”1331.5%
 
“1061.2%
 
—760.9%
 
…430.5%
 
※160.2%
 
‣110.1%
 
‍3< 0.1%
 
 2< 0.1%
 
‪1< 0.1%
 
‬1< 0.1%
 
″1< 0.1%
 
 1< 0.1%
 
‭1< 0.1%
 
′1< 0.1%
 
‑1< 0.1%
 
‏1< 0.1%
 

Most frequent CJK characters

ValueCountFrequency (%) 
的1692.2%
 
房1481.9%
 
有1321.7%
 
分1201.5%
 
一1001.3%
 
钟971.2%
 
地911.2%
 
站821.1%
 
行791.0%
 
到781.0%
 
大781.0%
 
间771.0%
 
人730.9%
 
中690.9%
 
和640.8%
 
公640.8%
 
是640.8%
 
可630.8%
 
小610.8%
 
敦600.8%
 
步590.8%
 
伦580.7%
 
市570.7%
 
区570.7%
 
我550.7%
 
Other values (988)574873.7%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е9415.3%
 
о6310.3%
 
а569.1%
 
и426.9%
 
с355.7%
 
т335.4%
 
н325.2%
 
в315.1%
 
м294.7%
 
д223.6%
 
л213.4%
 
р182.9%
 
я152.4%
 
ь152.4%
 
к111.8%
 
п111.8%
 
х101.6%
 
у101.6%
 
ж91.5%
 
й81.3%
 
ы81.3%
 
ш50.8%
 
б40.7%
 
Р40.7%
 
В30.5%
 
Other values (15)243.9%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★25774.7%
 
☆3911.3%
 
♥164.7%
 
♦92.6%
 
☺61.7%
 
⚪51.5%
 
♡51.5%
 
⚠20.6%
 
☕20.6%
 
♀10.3%
 
♣10.3%
 
♛10.3%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다423.7%
 
니383.4%
 
한373.3%
 
가322.8%
 
에312.7%
 
어272.4%
 
이242.1%
 
국221.9%
 
는221.9%
 
안201.8%
 
고191.7%
 
서191.7%
 
던181.6%
 
내161.4%
 
런161.4%
 
있151.3%
 
지151.3%
 
분141.2%
 
능141.2%
 
로131.1%
 
하131.1%
 
아131.1%
 
합121.1%
 
인121.1%
 
도111.0%
 
Other values (249)61654.5%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✔13146.8%
 
✓5620.0%
 
✅4516.1%
 
❤258.9%
 
✨113.9%
 
✴41.4%
 
✈31.1%
 
❣20.7%
 
➕20.7%
 
➡10.4%
 

Most frequent VS characters

ValueCountFrequency (%) 
️79100.0%
 

Most frequent Hebrew characters

ValueCountFrequency (%) 
י5712.3%
 
ו5411.6%
 
ר429.0%
 
ה296.2%
 
ל286.0%
 
ב286.0%
 
ת275.8%
 
ד265.6%
 
ק245.2%
 
ח173.7%
 
נ173.7%
 
א163.4%
 
ט153.2%
 
מ122.6%
 
ש102.2%
 
פ91.9%
 
ס91.9%
 
ן81.7%
 
כ81.7%
 
ם81.7%
 
ע71.5%
 
ג71.5%
 
צ61.3%
 
ז10.2%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
⋯1100.0%
 

Most frequent CJK Compat characters

ValueCountFrequency (%) 
㎡1100.0%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
₤457.1%
 
€342.9%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の289.3%
 
で268.6%
 
す227.3%
 
に186.0%
 
ま186.0%
 
い165.3%
 
り144.6%
 
あ113.6%
 
も113.6%
 
お103.3%
 
な103.3%
 
と103.3%
 
る93.0%
 
は82.6%
 
が82.6%
 
て72.3%
 
か62.0%
 
ら62.0%
 
し62.0%
 
く51.7%
 
さ51.7%
 
き41.3%
 
ご41.3%
 
そ31.0%
 
ど31.0%
 
Other values (20)3411.3%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
●30100.0%
 

Most frequent Arabic characters

ValueCountFrequency (%) 
ر510.9%
 
م510.9%
 
ا48.7%
 
ي48.7%
 
ن48.7%
 
ع36.5%
 
غ24.3%
 
ف24.3%
 
ة24.3%
 
ش24.3%
 
ت24.3%
 
د24.3%
 
ق24.3%
 
ل24.3%
 
خ12.2%
 
ص12.2%
 
ح12.2%
 
ك12.2%
 
ب12.2%
 

Most frequent Compat Jamo characters

ValueCountFrequency (%) 
ㅎ2100.0%
 

space
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct35719
Distinct (%)93.0%
Missing16881
Missing (%)30.5%
Memory size432.0 KiB
Situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building. The District, Hammersmith & Circle line are accessible from The Aldgate east station and Tower Hill station. The Metropolitan and circle lines can be taken from the Aldgate and Liverpool station potentially giving our guests access to all places of interests within minutes. The studios are located just a stone throw away from iconic landmarks such as the Tower bridge. St. Katherine’s docks. Walk a slightly further to take in the splendid views along the river Thames, to London Bridge and Monument. Aldgate also offers the best base for exploring other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton. The Brick Lane and Spitafileds markets are just short stroll away. The area is full of a variety of bars, pubs and restaurants. Aldgat
 
20
Duchy House is a 19th century building and has both double and single occupancy bedrooms across four floors, with lift access. Our bedrooms range in size and guests have a choice of rooms with either ensuite or shared shower room facilities. All guests have access to a communal kitchen located on each floor for basic self-catering, with common rooms and an onsite laundry is also available for use in the basement. Duchy House is located on the junction of the Strand and Waterloo Bridge (the buildings entrance is located between Pret-a-Manger and Café Nero on Waterloo Bridge (postcode WC2R 1HG) and across the road from the vibrant and bustling Covent Garden. Thus, whilst road traffic and the night time economy in this part of London might pose a noise issue, windows in all bedrooms are fitted with secondary glazing. Guests may also request rear facing rooms, and we will endeavour to accommodate such requests subject to room availability.
 
19
These modern apartments are fully furnished and equipped to ensure a perfect stay. The comfortable bedrooms have standard UK double beds with soft linens and fresh towels waiting for you. The living rooms and kitchens are ideal for preparing a meal or relaxing after a day of sightseeing or hard work at the office. The spacious bathrooms have shower over bath, great for quick showers or pampering baths.
 
17
The two bedroom apartment is ideal for six guests with two large double bedrooms and a large living space with a sofa bed available for guests. This spacious apartment is ideal for international travellers, business/corporate travellers and families. The unique thing about this apartment is the size as it is very spacious compared to most central London apartments. Location and Surroundings: 0.9 miles to Blackfriars, 0.8 miles to Blackfriars Pier overlooking the River Thames, 0.5 miles to St Paul’s, 0.6 miles Millennium Bridge, 0.6 miles from St Paul's Cathedral, 1.4 miles from Lyceum Theatre,1.4 miles from Theatre Royal Drury Lane.London Bridge is 1.2 miles
 
17
Our Swiss Cottage hostel is located in a friendly and safe neighbourhood and we have taken great care when it comes to your safety & security so you can chill carefree in our bar, fill up in the restaurant or relax in our lounge area watching the latest game. We have a 24 –hour reception so you can come and ask us questions at any time about your trip or your accommodation. We have free Wi-Fi for all of our guests allowing you to stay connected with your friends and family. We dislike hidden costs as much as you do which is why our beds are made for you and come with linen for free. These will be ready before you check in so you can jump into bed whenever you like!
 
15
Other values (35714)
38315 
ValueCountFrequency (%) 
Situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building. The District, Hammersmith & Circle line are accessible from The Aldgate east station and Tower Hill station. The Metropolitan and circle lines can be taken from the Aldgate and Liverpool station potentially giving our guests access to all places of interests within minutes. The studios are located just a stone throw away from iconic landmarks such as the Tower bridge. St. Katherine’s docks. Walk a slightly further to take in the splendid views along the river Thames, to London Bridge and Monument. Aldgate also offers the best base for exploring other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton. The Brick Lane and Spitafileds markets are just short stroll away. The area is full of a variety of bars, pubs and restaurants. Aldgat20< 0.1%
 
Duchy House is a 19th century building and has both double and single occupancy bedrooms across four floors, with lift access. Our bedrooms range in size and guests have a choice of rooms with either ensuite or shared shower room facilities. All guests have access to a communal kitchen located on each floor for basic self-catering, with common rooms and an onsite laundry is also available for use in the basement. Duchy House is located on the junction of the Strand and Waterloo Bridge (the buildings entrance is located between Pret-a-Manger and Café Nero on Waterloo Bridge (postcode WC2R 1HG) and across the road from the vibrant and bustling Covent Garden. Thus, whilst road traffic and the night time economy in this part of London might pose a noise issue, windows in all bedrooms are fitted with secondary glazing. Guests may also request rear facing rooms, and we will endeavour to accommodate such requests subject to room availability.19< 0.1%
 
These modern apartments are fully furnished and equipped to ensure a perfect stay. The comfortable bedrooms have standard UK double beds with soft linens and fresh towels waiting for you. The living rooms and kitchens are ideal for preparing a meal or relaxing after a day of sightseeing or hard work at the office. The spacious bathrooms have shower over bath, great for quick showers or pampering baths.17< 0.1%
 
The two bedroom apartment is ideal for six guests with two large double bedrooms and a large living space with a sofa bed available for guests. This spacious apartment is ideal for international travellers, business/corporate travellers and families. The unique thing about this apartment is the size as it is very spacious compared to most central London apartments. Location and Surroundings: 0.9 miles to Blackfriars, 0.8 miles to Blackfriars Pier overlooking the River Thames, 0.5 miles to St Paul’s, 0.6 miles Millennium Bridge, 0.6 miles from St Paul's Cathedral, 1.4 miles from Lyceum Theatre,1.4 miles from Theatre Royal Drury Lane.London Bridge is 1.2 miles17< 0.1%
 
Our Swiss Cottage hostel is located in a friendly and safe neighbourhood and we have taken great care when it comes to your safety & security so you can chill carefree in our bar, fill up in the restaurant or relax in our lounge area watching the latest game. We have a 24 –hour reception so you can come and ask us questions at any time about your trip or your accommodation. We have free Wi-Fi for all of our guests allowing you to stay connected with your friends and family. We dislike hidden costs as much as you do which is why our beds are made for you and come with linen for free. These will be ready before you check in so you can jump into bed whenever you like!15< 0.1%
 
The apartment is suitable for up to eight occupants with three double bedrooms with UK size double beds and a double sofa bed available for additional occupants above six. There are two bathrooms available within the unit and private laundry facilities. The apartment is well suited for international travellers, corporate travellers and families with infants and children. The apartment has a UK Double bed in the master bedroom, along with a double or adult size bunk bed in the second room. The apartment has fully equipped kitchen, and a modern deigned living room including a 40 inch TV. We have a large L shape sofabed which can also be used as a bed in the living area. On request we offer a fantastic TV service which consists of over 700 live channels and 11,000 movies and tv shows. We have all sport channels including 3pm kick offs along with all pay per view events. Location and Surroundings: 0.5 miles from the business populated area of Old Street, 0.7 miles to Liverpool Street, 1 mi15< 0.1%
 
- In-suite laundry - Fully-equipped kitchen Westminster highlights - Walkability score: 99 - 2 minute walk to The Cinnamon Club (best upscale Indian cuisine) - 13 minute walk to Tamesis Dock (outdoor dining along River Thames) Getting around - 6 blocks to St James' Park (Circle & District lines) - 8 minute drive to Big Ben - 30 minute drive to LCY Airport - 40 minute drive to LHR Airport14< 0.1%
 
Drummond Street is the perfect place for you: it is home to some of the best curry houses in London. Nearby, you’ll find the Wellcome Collection, UCL, British Library and British Museum. Please be advised there is a security camera just behind the front door recording 24/7.14< 0.1%
 
There is an en-suite bathroom which is a pleasure to shower in, a living room area with a very comfortable couch and TV and a little kitchenette that will make cooking a meal or even just a snack easy for you (Website hidden by Airbnb) bright and spacious and perfect for Business trips or Couples.14< 0.1%
 
You cannot beat the location. We are right in the centre of the West End! Located in the heart of Piccadilly Circus, the apartment is extremely well connected to the London Underground network (via Piccadilly Circus Station). There are also numerous bus stops along the street should you wish to see the city on wheels and travel above ground. If you're a fan of shopping, Regent Street is less than a three minute walk - home to some of London's most well-known fashion shops including Tommy Hilfiger, Burberry and Ted Baker. If you're looking for a more relaxing experience, Green Park is a ten minute walk.13< 0.1%
 
Roland House provides accommodation with a kitchen, set in London. Free WiFi is offered. All units come with a seating area, a flat-screen TV and a private bathroom with free toiletries, bath and shower. A microwave, a toaster and stovetop are also available, as well as a kettle. Guests can make use of the hot tub. Royal Albert Hall is 0.7 miles from the aparthotel. London City Airport is 9.9 miles from the property. Kensington and Chelsea is a great choice for travellers interested in architecture, monuments and entertainment.13< 0.1%
 
Amenities: - 24/7 guest support - Professionally cleaned - Hotel-quality bed linen and towels - 24/7 check-in as there is a lockbox with the keys Kitchen: - Fully equipped - Oven - Stove - Refrigerator - Microwave - Toaster - Kettle - Washing machine - Dishwasher Living Room: - Sofa - Coffee table - Dining table and chairs Bedroom: - Large double bed - Hotel quality linen - Hotel quality towels - Large wardrobe Bathroom: - Shower - Sink - Toilet - Hotel quality towels12< 0.1%
 
Welcome to our Guest House in Tooting The flat has all you need to enjoy a great stay in London. The House offers an extensive range of services for people on holidays, relocating to UK or Junior professionals. The Double Room is offered for short or long term basis and is located in a great house a few steps away from Tooting Broadway Station. The room has free access to a communal kitchen, provided with cooking equipment, and to two bathrooms. Also, you will find all amenities you need for working or studying from your spacious room or if you are just looking for an ideal place to relax. The room has double bed, bathroom, desk, TV and free wifi. This innovative private room house concept gives you the privacy of your own space but with access to all services that a hotel offers. Towels and beddings are provided too. We are waiting for you!11< 0.1%
 
A modern, very large, well designed, double room. The room is part of an apartment with 3 rooms in total. Our cleaners attend before every new guest and at least 4 times a week to clean communal areas. Rest assured it will be kept spotless throughout your stay. The room is well lit with large windows and lamps. I pride ourselves on quality, with luxurious crisp bedding and well thought out, high quality furniture throughout. BEDROOM Contains a double bed and a wardrobe with draws, a desk and a bedside lamp. We also have a dining area for 2 within the rooms. KITCHEN The kitchen is well equipped with a hob, oven, microwave and fridge. Guests are very welcome to make use of our Nespresso machine (which we leave fully supplied with pods) - so you can be sure to get a great cup of coffee whenever you fancy! There’s also a selection of teas to choose from. BATHROOM Large, super modern, fully equipped bathroom. Luxury toiletries and fluffy towels are all provided.11< 0.1%
 
Rest Up is a unique and historical building in Elephant & Castle in the heart of London, converted into a hostel for budget-friendly accommodation. The rooms consist of shared dorms with bunk beds, but you can also book the dorms as private rooms for yourself or for your group. Most rooms are with a shared bathroom in the hallway but some come with a private bathroom. Reception is open 24/7.10< 0.1%
 
Features include solid wooden floors, porcelain tiles, as well as bespoke glass worktops and energy-saving recessed lighting in the kitchen, bathrooms and lounges.10< 0.1%
 
- Fully-equipped kitchen - In-suite laundry Westminster highlights - Walkability score: 100 - 3 minute walk to About Thyme (our favorite European dishes) - 9 minute walk to Clarendon Cocktail Cellar (charming cellar and artsy cocktails) Getting around - 6 minute walk to Victoria Station - 7 minute drive to Hyde Park - 33 minute drive to LCY Airport - 39 minute drive to LHR Aiport10< 0.1%
 
Southwark is one of the oldest parts of London. Situated on the south side of the River Thames from the City of London, it began as much of the city did as a Roman settlement. Sitting just outside of the City of London gave it something of a lively reputation for centuries since it wasn’t bound to the city’s regulations, but urbanization in the 19th Century eventually saw the area absorbed into Greater London. We are pleased to present wonderfully presented, incredibly spacious & luxury apartment. The apartment block has been recently built, with all units meeting an extremely high standard incorporating a fully equipped kitchen (provisions include plates, cups & cutlery), dining areas , storage facilities and a private en suite bathroom. Entertainment on offer is in the form of a 32+ inch Plasma television, super-fast broadband, and a series of on demand services. The apartment is conveniently located, close to transport and other amenities. Attractions such as London eye, Tower of 10< 0.1%
 
This suite features a sofa, microwave and electric kettle. Room facilities: • Shower • Bath • Safety Deposit Box • TV • Telephone • Iron • Kitchenette • Desk • Ironing Facilities • Seating Area • Free toiletries • Fan • Toilet • Microwave • Private bathroom • Heating • Kitchen • Bath or Shower • Flat-screen TV • Private entrance • Sofa • Hardwood/Parquet floors • Electric kettle • Kitchenware • Wardrobe/Closet • Stovetop • Toaster • Hypoallergenic • City view • Towels • Linen • Upper floors accessible by lift • Private flat in building • Toilet paper • Sofa bedThis suite features a sofa, microwave and electric kettle. Room facilities: • Shower • Bath • Safety Deposit Box • TV • Telephone • Iron • Kitchenette • Desk • Ironing Facilities • Seating Area • Free toiletries • Fan • Toilet • Microwave • Private bathroom • Heating • Kitchen • Bath or Shower • Flat-screen TV • Private entrance • Sofa • Hardwood/Parquet floors • Electric kettle • Kitchenware • Wardrobe/Closet • Stovetop • Toaste10< 0.1%
 
Room comes with comfortable double bed , bedside table with lamp, wardrobe, big windows with lots of light, laminated floor. Kitchen is fully fitted with everything you need (fridge-freezer, cooker with 4 burners, oven, microwave, kettle, toaster, cutlery, plates, glasses, mugs, pots, pans etc.…) We provide tea, coffee and sugar There is a bathroom and separate toilet.10< 0.1%
 
When you arrive - the office in on the right hand side as you enter the lobby. They will issue you your keys. If the office is closed (Sundays) - you can get your keys from the porter desk on the left of the lobby10< 0.1%
 
These modern apartments are fully furnished and equipped to ensure a perfect stay. The comfortable bedrooms have standard UK double beds with soft linens and fresh towels waiting for you. The open plan living room and kitchen is ideal for preparing a meal or relaxing after a day of sightseeing or hard work at the office. The spacious bathrooms have shower over bath, great for quick showers or pampering baths.10< 0.1%
 
Decorated at a high standard, gives your that homey feel from the time you step in.9< 0.1%
 
On the borders of the Royal Borough of Kensington, the apartment is situated in Westminster Borough. The location is ideal as all of the sights and shops of London are just a short tube ride away. Alternatively you may like to explore Notting Hill and Westbourne areas, which are just on your door step. The choice is yours. Newly renovated, the apartment is furnished in contemporary style to a high standard. It is located close to public transport – nearest tube station is Westbourne Park (Circle and Hammersmith & City lines). The apartment is 65 m2, spacious and bright, accommodating for 4 guests. There are two bedrooms with double beds and a living room. Bed linen and towels are included. - Close to public transport - Two double beds - No smoking. Where to Eat? There are a number of supermarkets close by, for example Sainsbury’s 24-hour convenience store is only 2 minutes walk from the flat, you will be able to get all required essentials there. This area offers you an endless choice 9< 0.1%
 
Wood flooring throughout the property. Feels spacious and light with ceiling spotlights. Bedrooms offer ample build in storage spaces. Also benefits from sleek and chic fully equipped kitchen with integrated appliances and plentiful worktop space. Luxurious, designed and finished to a high end bathrooms. Free Wifi. T.V. Shopping districts within walking distance.9< 0.1%
 
Other values (35694)3809168.9%
 
(Missing)1688130.5%
 
2022-08-08T15:46:29.230107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique34171 ?
Unique (%)89.0%
2022-08-08T15:46:29.287322image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length204
Mean length332.3605202
Min length1

Overview of Unicode Properties

Unique unicode characters1250
Unique unicode categories21 ?
Unique unicode scripts9 ?
Unique unicode blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
318986917.4%
 
e16392168.9%
 
a12209926.6%
 
o11971146.5%
 
t11075146.0%
 
n9984965.4%
 
i9861685.4%
 
r9138005.0%
 
s8523844.6%
 
l6827113.7%
 
h6277153.4%
 
d5781773.1%
 
u4216362.3%
 
c3953952.2%
 
m3303481.8%
 
f3234301.8%
 
g2785331.5%
 
b2674431.5%
 
p2671421.5%
 
w2659641.4%
 
y2521681.4%
 
.1672360.9%
 
,1610350.9%
 
v1437810.8%
 
k1262640.7%
 
Other values (1225)9796885.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1396875576.0%
 
Space Separator319024317.4%
 
Uppercase Letter5751143.1%
 
Other Punctuation4105252.2%
 
Decimal Number989900.5%
 
Dash Punctuation713390.4%
 
Close Punctuation201820.1%
 
Open Punctuation194310.1%
 
Final Punctuation7050< 0.1%
 
Other Letter3928< 0.1%
 
Math Symbol3907< 0.1%
 
Control1292< 0.1%
 
Currency Symbol1019< 0.1%
 
Connector Punctuation914< 0.1%
 
Other Symbol775< 0.1%
 
Format249< 0.1%
 
Initial Punctuation241< 0.1%
 
Modifier Symbol118< 0.1%
 
Nonspacing Mark63< 0.1%
 
Other Number57< 0.1%
 
Modifier Letter27< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
T10047017.5%
 
L396156.9%
 
S390436.8%
 
I346836.0%
 
A316595.5%
 
C291865.1%
 
W289225.0%
 
B286335.0%
 
O246764.3%
 
E233594.1%
 
F212663.7%
 
H206553.6%
 
P196433.4%
 
R194153.4%
 
V182783.2%
 
M170103.0%
 
N169062.9%
 
D167542.9%
 
G124672.2%
 
K118122.1%
 
Y90871.6%
 
U62791.1%
 
Q20200.4%
 
J20170.4%
 
Z8020.1%
 
Other values (26)4570.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e163921611.7%
 
a12209928.7%
 
o11971148.6%
 
t11075147.9%
 
n9984967.1%
 
i9861687.1%
 
r9138006.5%
 
s8523846.1%
 
l6827114.9%
 
h6277154.5%
 
d5781774.1%
 
u4216363.0%
 
c3953952.8%
 
m3303482.4%
 
f3234302.3%
 
g2785332.0%
 
b2674431.9%
 
p2671421.9%
 
w2659641.9%
 
y2521681.8%
 
v1437811.0%
 
k1262640.9%
 
q306270.2%
 
x291690.2%
 
z177860.1%
 
Other values (67)147820.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
3189869> 99.9%
 
 331< 0.1%
 
 37< 0.1%
 
 6< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.16723640.7%
 
,16103539.2%
 
/160143.9%
 
'155023.8%
 
:149713.6%
 
!110562.7%
 
*74151.8%
 
&70631.7%
 
•47201.1%
 
;26020.6%
 
"15320.4%
 
?4970.1%
 
%2460.1%
 
…203< 0.1%
 
·153< 0.1%
 
｡89< 0.1%
 
#87< 0.1%
 
､70< 0.1%
 
@14< 0.1%
 
\12< 0.1%
 
⁃5< 0.1%
 
′2< 0.1%
 
″1< 0.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-7050498.8%
 
–7051.0%
 
—1240.2%
 
‑5< 0.1%
 
‐1< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
22273223.0%
 
11989220.1%
 
01453714.7%
 
51001610.1%
 
4989810.0%
 
388458.9%
 
745004.5%
 
636493.7%
 
827842.8%
 
921372.2%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(1934299.5%
 
[800.4%
 
{6< 0.1%
 
【3< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)2009299.6%
 
]770.4%
 
}7< 0.1%
 
》3< 0.1%
 
】3< 0.1%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’685897.3%
 
”1892.7%
 
»3< 0.1%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£100198.2%
 
$151.5%
 
€20.2%
 
₤10.1%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
‘15463.9%
 
“8635.7%
 
«10.4%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
房671.7%
 
的671.7%
 
有561.4%
 
一441.1%
 
大350.9%
 
分350.9%
 
人310.8%
 
和310.8%
 
钟310.8%
 
用300.8%
 
间270.7%
 
便260.7%
 
个250.6%
 
小230.6%
 
店230.6%
 
이230.6%
 
全220.6%
 
可220.6%
 
生220.6%
 
에220.6%
 
中220.6%
 
区210.5%
 
浴210.5%
 
客210.5%
 
在200.5%
 
Other values (960)316180.5%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
=163141.7%
 
+109027.9%
 
>80620.6%
 
|1774.5%
 
~1363.5%
 
￫250.6%
 
∙180.5%
 
<80.2%
 
√60.2%
 
×60.2%
 
¬30.1%
 
≈1< 0.1%
 

Most frequent Control characters

ValueCountFrequency (%) 
1292100.0%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★30439.2%
 
✓769.8%
 
►476.1%
 
☆455.8%
 
✬425.4%
 
✯384.9%
 
°273.5%
 
✔273.5%
 
❤263.4%
 
⭐263.4%
 
●212.7%
 
⚫202.6%
 
▪172.2%
 
✅121.5%
 
♡81.0%
 
☕70.9%
 
☺60.8%
 
✌60.8%
 
✩50.6%
 
♥30.4%
 
®20.3%
 
♦20.3%
 
✪20.3%
 
™20.3%
 
🛁10.1%
 
Other values (3)30.4%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
´9278.0%
 
`2117.8%
 
^32.5%
 
¨21.7%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
²4884.2%
 
¾712.3%
 
½23.5%
 

Most frequent Format characters

ValueCountFrequency (%) 
­23293.2%
 
‪72.8%
 
‬72.8%
 
20.8%
 
‍10.4%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_914100.0%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️4368.3%
 
︎1727.0%
 
̓23.2%
 
́11.6%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ1451.9%
 
ｰ1140.7%
 
ﾟ27.4%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1454290579.1%
 
Common382635820.8%
 
Han3064< 0.1%
 
Cyrillic968< 0.1%
 
Hangul749< 0.1%
 
Katakana67< 0.1%
 
Inherited64< 0.1%
 
Hiragana43< 0.1%
 
Greek1< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e163921611.3%
 
a12209928.4%
 
o11971148.2%
 
t11075147.6%
 
n9984966.9%
 
i9861686.8%
 
r9138006.3%
 
s8523845.9%
 
l6827114.7%
 
h6277154.3%
 
d5781774.0%
 
u4216362.9%
 
c3953952.7%
 
m3303482.3%
 
f3234302.2%
 
g2785331.9%
 
b2674431.8%
 
p2671421.8%
 
w2659641.8%
 
y2521681.7%
 
v1437811.0%
 
k1262640.9%
 
T1004700.7%
 
L396150.3%
 
S390430.3%
 
Other values (73)4873863.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
318986983.4%
 
.1672364.4%
 
,1610354.2%
 
-705041.8%
 
2227320.6%
 
)200920.5%
 
1198920.5%
 
(193420.5%
 
/160140.4%
 
'155020.4%
 
:149710.4%
 
0145370.4%
 
!110560.3%
 
5100160.3%
 
498980.3%
 
388450.2%
 
*74150.2%
 
&70630.2%
 
’68580.2%
 
•47200.1%
 
745000.1%
 
636490.1%
 
827840.1%
 
;26020.1%
 
921370.1%
 
Other values (92)130890.3%
 

Most frequent Han characters

ValueCountFrequency (%) 
房672.2%
 
的672.2%
 
有561.8%
 
一441.4%
 
大351.1%
 
分351.1%
 
人311.0%
 
和311.0%
 
钟311.0%
 
用301.0%
 
间270.9%
 
便260.8%
 
个250.8%
 
小230.8%
 
店230.8%
 
全220.7%
 
可220.7%
 
生220.7%
 
中220.7%
 
区210.7%
 
浴210.7%
 
客210.7%
 
在200.7%
 
室200.7%
 
敦190.6%
 
Other values (692)230375.2%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
이233.1%
 
에222.9%
 
하192.5%
 
다182.4%
 
있172.3%
 
니162.1%
 
는152.0%
 
요141.9%
 
지131.7%
 
기131.7%
 
서121.6%
 
고121.6%
 
시121.6%
 
영111.5%
 
어111.5%
 
사111.5%
 
로101.3%
 
은91.2%
 
리91.2%
 
도91.2%
 
보91.2%
 
가91.2%
 
한91.2%
 
분81.1%
 
인81.1%
 
Other values (197)43057.4%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️4367.2%
 
︎1726.6%
 
̓23.1%
 
‍11.6%
 
́11.6%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е22022.7%
 
а21121.8%
 
о737.5%
 
н454.6%
 
т414.2%
 
и404.1%
 
р373.8%
 
с363.7%
 
м313.2%
 
д262.7%
 
к232.4%
 
в222.3%
 
л171.8%
 
ы151.5%
 
б131.3%
 
я131.3%
 
п131.3%
 
х111.1%
 
й111.1%
 
ь111.1%
 
у90.9%
 
з90.9%
 
ш50.5%
 
ж40.4%
 
ч40.4%
 
Other values (20)282.9%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ﾝ811.9%
 
ﾄ69.0%
 
ｲ57.5%
 
ｸ57.5%
 
ﾙ57.5%
 
ﾌ46.0%
 
ｽ34.5%
 
ﾍ34.5%
 
ｯ34.5%
 
ﾑ34.5%
 
ｱ23.0%
 
ﾛ23.0%
 
ﾗ23.0%
 
ﾊ23.0%
 
ﾀ23.0%
 
ｼ23.0%
 
ﾅ11.5%
 
ｫ11.5%
 
ﾎ11.5%
 
ﾔ11.5%
 
ｶ11.5%
 
ｹ11.5%
 
ｷ11.5%
 
ﾁ11.5%
 
ﾆ11.5%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
と49.3%
 
に49.3%
 
き37.0%
 
は37.0%
 
さ37.0%
 
な37.0%
 
が37.0%
 
あ37.0%
 
り37.0%
 
す37.0%
 
の24.7%
 
ま24.7%
 
か12.3%
 
し12.3%
 
を12.3%
 
る12.3%
 
も12.3%
 
お12.3%
 
で12.3%
 

Most frequent Greek characters

ValueCountFrequency (%) 
Τ1100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1835227999.9%
 
Punctuation131110.1%
 
None3195< 0.1%
 
CJK3064< 0.1%
 
Cyrillic968< 0.1%
 
Hangul746< 0.1%
 
Misc Symbols396< 0.1%
 
Dingbats236< 0.1%
 
Geometric Shapes85< 0.1%
 
VS60< 0.1%
 
Hiragana43< 0.1%
 
Math Operators25< 0.1%
 
Compat Jamo3< 0.1%
 
Currency Symbols3< 0.1%
 
Diacriticals3< 0.1%
 
Letterlike Symbols2< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
318986917.4%
 
e16392168.9%
 
a12209926.7%
 
o11971146.5%
 
t11075146.0%
 
n9984965.4%
 
i9861685.4%
 
r9138005.0%
 
s8523844.6%
 
l6827113.7%
 
h6277153.4%
 
d5781773.2%
 
u4216362.3%
 
c3953952.2%
 
m3303481.8%
 
f3234301.8%
 
g2785331.5%
 
b2674431.5%
 
p2671421.5%
 
w2659641.4%
 
y2521681.4%
 
.1672360.9%
 
,1610350.9%
 
v1437810.8%
 
k1262640.7%
 
Other values (71)9577485.2%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’685852.3%
 
•472036.0%
 
–7055.4%
 
…2031.5%
 
”1891.4%
 
‘1541.2%
 
—1240.9%
 
“860.7%
 
 370.3%
 
‪70.1%
 
‬70.1%
 
 6< 0.1%
 
‑5< 0.1%
 
⁃5< 0.1%
 
′2< 0.1%
 
″1< 0.1%
 
‍1< 0.1%
 
‐1< 0.1%
 

Most frequent None characters

ValueCountFrequency (%) 
£100131.3%
 
é58718.4%
 
 33110.4%
 
­2327.3%
 
·1534.8%
 
è1083.4%
 
´922.9%
 
｡892.8%
 
à742.3%
 
､702.2%
 
²481.5%
 
°270.8%
 
⭐260.8%
 
￫250.8%
 
á200.6%
 
í170.5%
 
ç160.5%
 
ê150.5%
 
ó150.5%
 
ﾞ140.4%
 
ę140.4%
 
ｰ110.3%
 
ñ80.3%
 
ﾝ80.3%
 
¾70.2%
 
Other values (75)1875.9%
 

Most frequent CJK characters

ValueCountFrequency (%) 
房672.2%
 
的672.2%
 
有561.8%
 
一441.4%
 
大351.1%
 
分351.1%
 
人311.0%
 
和311.0%
 
钟311.0%
 
用301.0%
 
间270.9%
 
便260.8%
 
个250.8%
 
小230.8%
 
店230.8%
 
全220.7%
 
可220.7%
 
生220.7%
 
中220.7%
 
区210.7%
 
浴210.7%
 
客210.7%
 
在200.7%
 
室200.7%
 
敦190.6%
 
Other values (692)230375.2%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★30476.8%
 
☆4511.4%
 
⚫205.1%
 
♡82.0%
 
☕71.8%
 
☺61.5%
 
♥30.8%
 
♦20.5%
 
☀10.3%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✓7632.2%
 
✬4217.8%
 
✯3816.1%
 
✔2711.4%
 
❤2611.0%
 
✅125.1%
 
✌62.5%
 
✩52.1%
 
✪20.8%
 
➖10.4%
 
❗10.4%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
►4755.3%
 
●2124.7%
 
▪1720.0%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
이233.1%
 
에222.9%
 
하192.5%
 
다182.4%
 
있172.3%
 
니162.1%
 
는152.0%
 
요141.9%
 
지131.7%
 
기131.7%
 
서121.6%
 
고121.6%
 
시121.6%
 
영111.5%
 
어111.5%
 
사111.5%
 
로101.3%
 
은91.2%
 
리91.2%
 
도91.2%
 
보91.2%
 
가91.2%
 
한91.2%
 
분81.1%
 
인81.1%
 
Other values (196)42757.2%
 

Most frequent VS characters

ValueCountFrequency (%) 
️4371.7%
 
︎1728.3%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е22022.7%
 
а21121.8%
 
о737.5%
 
н454.6%
 
т414.2%
 
и404.1%
 
р373.8%
 
с363.7%
 
м313.2%
 
д262.7%
 
к232.4%
 
в222.3%
 
л171.8%
 
ы151.5%
 
б131.3%
 
я131.3%
 
п131.3%
 
х111.1%
 
й111.1%
 
ь111.1%
 
у90.9%
 
з90.9%
 
ш50.5%
 
ж40.4%
 
ч40.4%
 
Other values (20)282.9%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
∙1872.0%
 
√624.0%
 
≈14.0%
 

Most frequent Compat Jamo characters

ValueCountFrequency (%) 
ㅎ3100.0%
 

Most frequent Letterlike Symbols characters

ValueCountFrequency (%) 
™2100.0%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
と49.3%
 
に49.3%
 
き37.0%
 
は37.0%
 
さ37.0%
 
な37.0%
 
が37.0%
 
あ37.0%
 
り37.0%
 
す37.0%
 
の24.7%
 
ま24.7%
 
か12.3%
 
し12.3%
 
を12.3%
 
る12.3%
 
も12.3%
 
お12.3%
 
で12.3%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
€266.7%
 
₤133.3%
 

Most frequent Diacriticals characters

ValueCountFrequency (%) 
̓266.7%
 
́133.3%
 

description
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct51626
Distinct (%)96.4%
Missing1726
Missing (%)3.1%
Memory size432.0 KiB
Lovely studios situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building The studios are located just a stone throw away from iconic landmarks such as the Tower bridge, St. Katherine’s docks, London Bridge and other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton. Situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building. The District, Hammersmith & Circle line are accessible from The Aldgate east station and Tower Hill station. The Metropolitan and circle lines can be taken from the Aldgate and Liverpool station potentially giving our guests access to all places of interests within minutes. The studios are located just
 
17
My Luxury Two Bedroom apartment is located minutes walk from St. Pauls Cathedral in Central London. The apartment is fully equipped with everything required in an apartment with all the essentials for a home away from home experience. The apartment is located in a private block of four apartments which I manage with my family. This apartment is suitable for tourists and those needing a place to stay for business, as well as those relocating and needing a place for short term. The two bedroom apartment is ideal for six guests with two large double bedrooms and a large living space with a sofa bed available for guests. This spacious apartment is ideal for international travellers, business/corporate travellers and families. The unique thing about this apartment is the size as it is very spacious compared to most central London apartments. Location and Surroundings: 0.9 miles to Blackfriars, 0.8 miles to Blackfriars Pier overlooking the River Thames, 0.5 miles to St Paul’s, 0.6 miles Mill
 
17
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - In-suite laundry - Fully-equipped kitchen Westminster highlights - Walkability score: 99 - 2 minute walk to The Cinnamon Club (best upscale Indian cuisine) - 13 minute walk to Tamesis Dock (outdoor dining along River Thames) Getting around - 6 blocks to St James' Park (Circle & District lines) - 8 minute drive to Big Ben - 30 minute drive to LCY Airport - 40 minute drive to LHR Airport Home to London’s most remarkable and historic attractions, Westminster is the epicenter of culture and commerce. Mixing government and financ
 
14
.
 
13
Situated in South Kensington, this apartment is comfortable and accommodating, ideal for people visiting local institutions such as Imperial College or The Royal College of Art, or for professionals looking for a pied-à-terre. Excellently located, Gloucester Road and South Kensington tube stations, as well as the pleasantries of Fulham Road are all within less than a 5 minutes walk. All tenants benefit from a dedicated Building Manager who is on hand to assist with any property related issues. Roland House provides accommodation with a kitchen, set in London. Free WiFi is offered. All units come with a seating area, a flat-screen TV and a private bathroom with free toiletries, bath and shower. A microwave, a toaster and stovetop are also available, as well as a kettle. Guests can make use of the hot tub. Royal Albert Hall is 0.7 miles from the aparthotel. London City Airport is 9.9 miles from the property. Kensington and Chelsea is a great choice for travellers interested in architect
 
13
Other values (51621)
53484 
ValueCountFrequency (%) 
Lovely studios situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building The studios are located just a stone throw away from iconic landmarks such as the Tower bridge, St. Katherine’s docks, London Bridge and other hip and Trendy hot spots such as the Brick Lane, Shoreditch and Hoxton. Situated in an excellent central location. Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building. The District, Hammersmith & Circle line are accessible from The Aldgate east station and Tower Hill station. The Metropolitan and circle lines can be taken from the Aldgate and Liverpool station potentially giving our guests access to all places of interests within minutes. The studios are located just 17< 0.1%
 
My Luxury Two Bedroom apartment is located minutes walk from St. Pauls Cathedral in Central London. The apartment is fully equipped with everything required in an apartment with all the essentials for a home away from home experience. The apartment is located in a private block of four apartments which I manage with my family. This apartment is suitable for tourists and those needing a place to stay for business, as well as those relocating and needing a place for short term. The two bedroom apartment is ideal for six guests with two large double bedrooms and a large living space with a sofa bed available for guests. This spacious apartment is ideal for international travellers, business/corporate travellers and families. The unique thing about this apartment is the size as it is very spacious compared to most central London apartments. Location and Surroundings: 0.9 miles to Blackfriars, 0.8 miles to Blackfriars Pier overlooking the River Thames, 0.5 miles to St Paul’s, 0.6 miles Mill17< 0.1%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - In-suite laundry - Fully-equipped kitchen Westminster highlights - Walkability score: 99 - 2 minute walk to The Cinnamon Club (best upscale Indian cuisine) - 13 minute walk to Tamesis Dock (outdoor dining along River Thames) Getting around - 6 blocks to St James' Park (Circle & District lines) - 8 minute drive to Big Ben - 30 minute drive to LCY Airport - 40 minute drive to LHR Airport Home to London’s most remarkable and historic attractions, Westminster is the epicenter of culture and commerce. Mixing government and financ14< 0.1%
 
.13< 0.1%
 
Situated in South Kensington, this apartment is comfortable and accommodating, ideal for people visiting local institutions such as Imperial College or The Royal College of Art, or for professionals looking for a pied-à-terre. Excellently located, Gloucester Road and South Kensington tube stations, as well as the pleasantries of Fulham Road are all within less than a 5 minutes walk. All tenants benefit from a dedicated Building Manager who is on hand to assist with any property related issues. Roland House provides accommodation with a kitchen, set in London. Free WiFi is offered. All units come with a seating area, a flat-screen TV and a private bathroom with free toiletries, bath and shower. A microwave, a toaster and stovetop are also available, as well as a kettle. Guests can make use of the hot tub. Royal Albert Hall is 0.7 miles from the aparthotel. London City Airport is 9.9 miles from the property. Kensington and Chelsea is a great choice for travellers interested in architect13< 0.1%
 
Our Swiss Cottage hostel is located in a friendly and safe neighbourhood and we have taken great care when it comes to your safety & security so you can chill carefree in our bar, fill up in the restaurant or relax in our lounge area watching the latest game. We have a 24 –hour reception so you can come and ask us questions at any time about your trip or your accommodation. We have free Wi-Fi for all of our guests allowing you to stay connected with your friends and family. We dislike hidden costs as much as you do which is why our beds are made for you and come with linen for free. These will be ready before you check in so you can jump into bed whenever you like! We have an on site bar and lounge area available for you to use along with friendly and smiley reception staff. We have a team of friendly reception staff available 24 hours a day at the front desk should you have any questions or need any help. Swiss Cottage is a fantastic area of Central London located just outside of Zone13< 0.1%
 
My place is good for couples, solo adventurers, and business travellers.12< 0.1%
 
Good size Studio Apartment in one of London’s most exclusive neighbourhoods, close to Harrods, Buckingham Palace and the Royal Albert Hall. When you book at Nell Gwynn House, you are taking a space that includes a living area, bedroom, bathroom and fully equipped kitchen. All rates include free Wi-Fi, satellite TV and daily maid service - I have more flats - all images are an example but all very similar.11< 0.1%
 
This private self-contained double studio flat is set in the heart of beautiful Belsize Park. Within the flat there is a double bed, private shower room, fully equipped kitchen with all main utensils provided, as well as a desk/workspace and television. The flat is supplied with a full set of clean bed linen and towels. Belsize Park is a beautiful area and this flat is located just a few minutes walk from the many coffee shops, delicious restaurants, mini supermarkets and shops on Haverstock Hill. There's even an Everyman Cinema! Why not explore nearby areas such as Hampstead and Camden? Or even walk to the top of Primrose Hill for (in my opinion) the best view in London. Want to see more - Belsize Park Underground Station (Northern Line, Zone 2) and Swiss Cottage Underground Station (Jubilee Line) are located just a few minutes walk from this flat and provide excellent access to this exciting city! There is no lift/ elevator in the building. Please note in the kitchen all basic cooki11< 0.1%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - Fully-equipped kitchen - In-suite laundry Westminster highlights - Walkability score: 100 - 3 minute walk to About Thyme (our favorite European dishes) - 9 minute walk to Clarendon Cocktail Cellar (charming cellar and artsy cocktails) Getting around - 6 minute walk to Victoria Station - 7 minute drive to Hyde Park - 33 minute drive to LCY Airport - 39 minute drive to LHR Aiport Home to London’s most remarkable and historic attractions, Westminster is the epicenter of culture and commerce. Mixing government and financial off10< 0.1%
 
My Luxury Three Bedroom apartment is located minutes walk from Shoreditch High Street station or Old Street station. The apartment is fully equipped with everything required in an apartment with all the essentials for a home away from home experience. The apartment is located in a private block of five apartments which I manage with my family. This apartment is suitable for tourists and those needing a place to stay for business, as well as those relocating and needing a place for short term. The apartment is suitable for up to eight occupants with three double bedrooms with UK size double beds and a double sofa bed available for additional occupants above six. There are two bathrooms available within the unit and private laundry facilities. The apartment is well suited for international travellers, corporate travellers and families with infants and children. The apartment has a UK Double bed in the master bedroom, along with a double or adult size bunk bed in the second room. The apar10< 0.1%
 
High end, newly refurbished, 5 Star double room with shared bathroom. Spacious and well designed living and sleeping space complimented by our fully equipped modern kitchen. Décor is exceptional throughout. 10 minutes walk to Swiss Cottage tube station. Swiss Cottage to Bond Street is only 9 minuets, Ideal for exploring all that Central London has to offer. Please note although this property is not currently well reviewed yet, I am a Superhost with over 500 reviews. You are in very safe hands. A modern, very large, well designed, double room. The room is part of an apartment with 3 rooms in total. Our cleaners attend before every new guest and at least 4 times a week to clean communal areas. Rest assured it will be kept spotless throughout your stay. The room is well lit with large windows and lamps. I pride ourselves on quality, with luxurious crisp bedding and well thought out, high quality furniture throughout. BEDROOM Contains a double bed and a wardrobe with draws, a desk and a10< 0.1%
 
Set in London, Roland House offers free WiFi and city views, 0.8 miles from Royal Albert Hall. The accommodation comes with a fully equipped kitchen with a microwave and kettle, a flat-screen TV and a private bathroom with bath and shower. At the aparthotel guests are welcome to take advantage of a hot tub and a sauna. Kensington and Chelsea is a great choice for travellers interested in architecture, monuments and entertainment. This suite features a sofa, microwave and electric kettle. Room facilities: • Shower • Bath • Safety Deposit Box • TV • Telephone • Iron • Kitchenette • Desk • Ironing Facilities • Seating Area • Free toiletries • Fan • Toilet • Microwave • Private bathroom • Heating • Kitchen • Bath or Shower • Flat-screen TV • Private entrance • Sofa • Hardwood/Parquet floors • Electric kettle • Kitchenware • Wardrobe/Closet • Stovetop • Toaster • Hypoallergenic • City view • Towels • Linen • Upper floors accessible by lift • Private flat in building • Toilet paper • Sofa be10< 0.1%
 
This studio flat is located in Chelsea Cloisters on Sloane Avenue in Chelsea. The flat benefits from 24/hr concierge, lift access, daily cleaning and a kitchen. Sloane Avenue is located 5 minutes from South Kensington and 10 minutes from Sloane Square where guests can enjoy plenty of shops, restaurants, bars and cafes, museums and Royal Albert Hall all within a 10 minute walk. WIFI is NOT free - Vouchers can be purchased at reception Photos are an example of the apartment you will be allocated9< 0.1%
 
Located in the heart of the West End on Shaftesbury Avenue. This modern studio space includes a fully fitted contemporary kitchenette, a double bed, TV, storage space, lots of natural light and a shower room. We have 15 Vernon House apartments. Furniture and colours may vary between apartments. Internet fair usage policy in operation. Data not to exceed 1.5 GB per day. You cannot beat the location. We are right in the centre of the West End! Located in the heart of Piccadilly Circus, the apartment is extremely well connected to the London Underground network (via Piccadilly Circus Station). There are also numerous bus stops along the street should you wish to see the city on wheels and travel above ground. If you're a fan of shopping, Regent Street is less than a three minute walk - home to some of London's most well-known fashion shops including Tommy Hilfiger, Burberry and Ted Baker. If you're looking for a more relaxing experience, Green Park is a ten minute walk. Guest acc9< 0.1%
 
We are pleased to present wonderfully presented, incredibly spacious & luxury apartment. The apartment block has been recently built, with all units meeting an extremely high standard incorporating a fully equipped kitchen (provisions include plates, cups & cutlery), dining areas, storage facilities and a private en suite bathroom. Entertainment on offer is in the form of a 32+ inch Plasma television, super-fast broadband, and a series of on demand services. Southwark is one of the oldest parts of London. Situated on the south side of the River Thames from the City of London, it began as much of the city did as a Roman settlement. Sitting just outside of the City of London gave it something of a lively reputation for centuries since it wasn’t bound to the city’s regulations, but urbanization in the 19th Century eventually saw the area absorbed into Greater London. We are pleased to present wonderfully presented, incredibly spacious & luxury apartment. The apartment block has been rec9< 0.1%
 
This one bed flat is located in Chelsea Cloisters on Sloane Avenue in Chelsea. The flat benefits from 24/hr concierge, lift access, daily cleaning and a kitchen. Sloane Avenue is located 5 minutes from South Kensington and 10 minutes from Sloane Square where guests can enjoy plenty of shops, restaurants, bars and cafes, museums and Royal Albert Hall all within a 10 minute walk. WIFI is NOT free - Vouchers can be purchased at reception Photos are an example of the apartment you will be allocated9< 0.1%
 
We provide excellent self catering serviced apartments for the discerning traveller. Located in the heart of the Royal Borough of Kensington and Chelsea, close to the famous Harrods department store and all of the exclusive shops and boutiques on Sloane Street. Daily maid service Monday to Friday, weekly replacement of linen and towels, fully equipped kitchen, a professional team of housekeepers and maintenance available for you together with 24 hour porter services.9< 0.1%
 
A luxurious apartment high up in the London sky. Unparalleled views across the capital city that completely take your breath away. Hotel quality linen, kitchen amenities, fast and reliable Wi-Fi, this apartment has it all. Just moments from Archway station, you can be anywhere in the city in under 30 minutes. A unique and incredible place to stay. This newly built apartment comes with breathtaking views, modern amenities, kitchen appliances, hotel quality linen, unique decor, fast and reliable Wi-Fi plus local TV channels. You will have access to the entire apartment. I am always available online, plus I have a Handyman on call 24/7. Archway is located at the foot of Highgate Hill and is surrounded by great coffee shops, restaurants and transport links. Archway station (Northern Line) is just one minute from the apartment and can take you anywhere in London in under 30 minutes.8< 0.1%
 
A modern, warm and comfortable apartment is situated in Enfield town centre with 2 minutes walking distance to Palace Exchange Shopping Mall. Enfield Town Station and Enfield Chase Station are within 10 minutes walking distance There is one bedroom with a double bed and also a comfy sofa bed in the living room, open plan kitchen lounge and bathroom with shower. The apartment has a balcony and also benefits from a secure gated parking space. Enjoy! This is a self contained flat on the quiet road. One free parking space is allocated for this apartment. If you have extra cars, you can easily find a public car park opposite the apartment. Basics such as tea and coffee, shampoo etc are provided. Children are welcome and a travel cot can be provided for young children if required. Please let me know when you book. It is also suitable for wheelchair access. It is important to me that, as my guest, you feel happy and comfortable in the flat - everything is provided to facilitate that, includi8< 0.1%
 
* ZONE 1 * CAN WALK TO CENTRE IN MINUTES * CLOSE TO THE TUBE * FREE WIFI * YOUR OWN KEY TO BOTH THE HOUSE AND YOUR ROOM * USE OF THE KITCHEN * NO CURFEW * FLEXIBLE ON CHECK-IN AND CHECK-OUT * PROFESSIONALLY CLEANED * NEWLY RENOVATED8< 0.1%
 
Situated in Edgware, 4 miles from Wembley Stadium. It features a restaurant and free high-speed WiFi Certain units have a seating area to relax in after a busy day. Every room comes with either a single or a double bunked and a private bathroom 24-hour front desk, bike storage, luggage storage and shops. Work spaces and a cinema available. On-site laundry is available for a fee. Colindale Park is 1.6 miles away, Allianz Park is 2.2 miles away. London Heathrow Airport is 12.4 miles away Room size 26 ft² 4 bunk beds This suite features a seating area, washing machine and tumble dryer. Room facilities: • Terrace • Seating Area • Fan • Heating • Soundproofing • Tumble dryer • Wardrobe/Closet • Shower • Toilet • Toilet paper • Kitchen • Kitchenware • Toaster • Dining table • Wake-up service • Towels/Sheets (extra fee) • Towels • Linen Free WiFi! Closest landmarks Colindale 0.2 miles Burnt Oak 0.6 miles Royal Air Force Museum 0.7 miles Kingsbury 1.4 miles Queensbury 1.4 miles Hendon Centra8< 0.1%
 
We have several units in the same building. Please contact us if you cannot find availability for your requested dates. Set in an award winning development right on the River Thames, the apartment gives guests a fantastic vantage point from which to explore London. Whether it is the tourist attractions of Victoria and Green Park, or Oxford Street - everything is with in a few minutes reach via the Vauxhall Station. We require a refundable damage deposit of £250 prior to arrival.8< 0.1%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - Fully equipped kitchen - In-suite laundry City of London highlights - Walkability score: 98 - 3 minute walk to Adore REMO (charming and cozy Italian restaurant) - 3 minute walk to Baranis (elegant French cocktail bar underground) Getting around - 6 minute walk to Temple subway station - 5 minute drive to the famous London Eye - 55 minute drive to LHR Airport This is an exciting and dynamic area. It’s the heart of the business district so you’ll see lots of suits, but it’s also where some of London’s very best restaurants ar8< 0.1%
 
Tucked inside 3 buildings in the sprawling 54-acre Holland Park, an easy 8-minute jaunt to the Holland Park tube station – and easily walkable to biggies like Notting Hill, and Kensington Palace and Gardens. This former castle is now a lively, low-key hostel with private garden courtyard right in the heart of Holland Park. Breakfast is available for a nominal fee daily 7-10am, and the Park Diner dishes up American diner classics like burgers and pizza – plus British staples like fish & chips. There’s even a milkshake bar where you can concoct a crazy combo. Ask about onsite yoga every Sunday, the free daily tour that meets in Covent Garden (a collabo with Sandemans), and Wicked Student Nights for cheap drinks and entertainment. Your room will include: Free WiFi Key card access The space offers: Breakfast (surcharge) Park Diner Game room Vending machines Courtyard ATM Luggage storage Coin-op laundry8< 0.1%
 
Other values (51601)5329696.4%
 
(Missing)17263.1%
 
2022-08-08T15:46:29.431690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique50479 ?
Unique (%)94.3%
2022-08-08T15:46:29.488980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length1000
Mean length769.6772846
Min length1

Overview of Unicode Properties

Unique unicode characters2037
Unique unicode categories21 ?
Unique unicode scripts11 ?
Unique unicode blocks20 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
738215517.3%
 
e36618118.6%
 
a28429956.7%
 
o27915516.6%
 
t26891696.3%
 
n23760515.6%
 
i22542255.3%
 
r21200085.0%
 
s19997794.7%
 
l15730533.7%
 
h13255733.1%
 
d12782303.0%
 
u10227662.4%
 
c8995852.1%
 
m8033811.9%
 
f7092651.7%
 
y6084691.4%
 
b6004151.4%
 
p5994741.4%
 
g5942291.4%
 
w5811951.4%
 
.4035840.9%
 
,3717830.9%
 
v3282900.8%
 
k3192330.8%
 
Other values (2012)24145705.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter3218165075.6%
 
Space Separator738287817.4%
 
Uppercase Letter14919623.5%
 
Other Punctuation9462442.2%
 
Decimal Number2939170.7%
 
Dash Punctuation1110060.3%
 
Close Punctuation492060.1%
 
Open Punctuation479450.1%
 
Other Letter17336< 0.1%
 
Final Punctuation15904< 0.1%
 
Math Symbol5430< 0.1%
 
Currency Symbol2325< 0.1%
 
Other Symbol1431< 0.1%
 
Control1308< 0.1%
 
Connector Punctuation721< 0.1%
 
Initial Punctuation640< 0.1%
 
Format278< 0.1%
 
Modifier Symbol273< 0.1%
 
Modifier Letter148< 0.1%
 
Nonspacing Mark132< 0.1%
 
Other Number105< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
T19173712.9%
 
L1270668.5%
 
S1158117.8%
 
C951406.4%
 
I856955.7%
 
A809875.4%
 
W796055.3%
 
B783285.2%
 
P639804.3%
 
E633744.2%
 
H600794.0%
 
O559713.8%
 
R513513.4%
 
M475633.2%
 
F465613.1%
 
N443143.0%
 
G413402.8%
 
V389392.6%
 
D355642.4%
 
K292442.0%
 
Y237411.6%
 
U161281.1%
 
J82900.6%
 
Q63030.4%
 
Z36280.2%
 
Other values (31)12230.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e366181111.4%
 
a28429958.8%
 
o27915518.7%
 
t26891698.4%
 
n23760517.4%
 
i22542257.0%
 
r21200086.6%
 
s19997796.2%
 
l15730534.9%
 
h13255734.1%
 
d12782304.0%
 
u10227663.2%
 
c8995852.8%
 
m8033812.5%
 
f7092652.2%
 
y6084691.9%
 
b6004151.9%
 
p5994741.9%
 
g5942291.8%
 
w5811951.8%
 
v3282901.0%
 
k3192331.0%
 
x702080.2%
 
q627940.2%
 
j327560.1%
 
Other values (74)371450.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
7382155> 99.9%
 
 695< 0.1%
 
 19< 0.1%
 
 7< 0.1%
 
 2< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.40358442.7%
 
,37178339.3%
 
'394134.2%
 
/325343.4%
 
!271062.9%
 
:222082.3%
 
&216872.3%
 
*126001.3%
 
;51270.5%
 
•45330.5%
 
"26320.3%
 
?11050.1%
 
%5390.1%
 
｡370< 0.1%
 
…241< 0.1%
 
､201< 0.1%
 
·199< 0.1%
 
#192< 0.1%
 
@90< 0.1%
 
\42< 0.1%
 
‣17< 0.1%
 
※16< 0.1%
 
⁃10< 0.1%
 
¡6< 0.1%
 
･4< 0.1%
 
Other values (2)5< 0.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-10961098.7%
 
–11291.0%
 
—2600.2%
 
‑6< 0.1%
 
‐1< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
16393321.8%
 
26292421.4%
 
04672815.9%
 
53873113.2%
 
3256478.7%
 
4230997.9%
 
7113463.9%
 
683892.9%
 
878722.7%
 
952481.8%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(4774799.6%
 
[1510.3%
 
【320.1%
 
{12< 0.1%
 
《3< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)4900099.6%
 
]1430.3%
 
】310.1%
 
}18< 0.1%
 
》14< 0.1%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
+251746.4%
 
=147027.1%
 
>59811.0%
 
~2945.4%
 
|2073.8%
 
¬1402.6%
 
￫1001.8%
 
<761.4%
 
×110.2%
 
√60.1%
 
∙50.1%
 
￬40.1%
 
⋯1< 0.1%
 
≈1< 0.1%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£228598.3%
 
$291.2%
 
₤50.2%
 
€50.2%
 
¢1< 0.1%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’1554397.7%
 
”3512.2%
 
»100.1%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
´15857.9%
 
`6523.8%
 
¨3211.7%
 
^165.9%
 
˜20.7%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
‘38760.5%
 
“25039.1%
 
«30.5%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
的2861.6%
 
房2541.5%
 
有2321.3%
 
分2261.3%
 
钟1841.1%
 
一1620.9%
 
地1540.9%
 
大1390.8%
 
站1380.8%
 
和1380.8%
 
人1280.7%
 
到1240.7%
 
行1220.7%
 
中1220.7%
 
可1210.7%
 
间1190.7%
 
公1130.7%
 
敦1100.6%
 
区1100.6%
 
伦1060.6%
 
小990.6%
 
以940.5%
 
是940.5%
 
步930.5%
 
我920.5%
 
Other values (1703)1377679.5%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★52636.8%
 
✔16611.6%
 
✓1299.0%
 
☆745.2%
 
⭐674.7%
 
✅664.6%
 
●523.6%
 
❤503.5%
 
°422.9%
 
✬422.9%
 
✯251.7%
 
⚫221.5%
 
♥191.3%
 
☺141.0%
 
⭕141.0%
 
♡130.9%
 
♦110.8%
 
✨110.8%
 
☕100.7%
 
►100.7%
 
®70.5%
 
▪70.5%
 
✈60.4%
 
⯁60.4%
 
￮60.4%
 
Other values (22)362.5%
 

Most frequent Control characters

ValueCountFrequency (%) 
1308100.0%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
²7672.4%
 
¾2120.0%
 
½76.7%
 
¼11.0%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_721100.0%
 

Most frequent Format characters

ValueCountFrequency (%) 
­25391.0%
 
‪82.9%
 
‬72.5%
 
‍51.8%
 
31.1%
 
‭10.4%
 
‏10.4%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️12292.4%
 
︎75.3%
 
̓21.5%
 
́10.8%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ7852.7%
 
ｰ5738.5%
 
ﾟ138.8%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin3367177479.1%
 
Common885975420.8%
 
Han13850< 0.1%
 
Hangul2143< 0.1%
 
Cyrillic1842< 0.1%
 
Hebrew465< 0.1%
 
Katakana423< 0.1%
 
Hiragana397< 0.1%
 
Inherited137< 0.1%
 
Arabic53< 0.1%
 
Greek1< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e366181110.9%
 
a28429958.4%
 
o27915518.3%
 
t26891698.0%
 
n23760517.1%
 
i22542256.7%
 
r21200086.3%
 
s19997795.9%
 
l15730534.7%
 
h13255733.9%
 
d12782303.8%
 
u10227663.0%
 
c8995852.7%
 
m8033812.4%
 
f7092652.1%
 
y6084691.8%
 
b6004151.8%
 
p5994741.8%
 
g5942291.8%
 
w5811951.7%
 
v3282901.0%
 
k3192330.9%
 
T1917370.6%
 
L1270660.4%
 
S1158110.3%
 
Other values (82)12584133.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
738215583.3%
 
.4035844.6%
 
,3717834.2%
 
-1096101.2%
 
1639330.7%
 
2629240.7%
 
)490000.6%
 
(477470.5%
 
0467280.5%
 
'394130.4%
 
5387310.4%
 
/325340.4%
 
!271060.3%
 
3256470.3%
 
4230990.3%
 
:222080.3%
 
&216870.2%
 
’155430.2%
 
*126000.1%
 
7113460.1%
 
683890.1%
 
878720.1%
 
952480.1%
 
;51270.1%
 
•45330.1%
 
Other values (124)212070.2%
 

Most frequent Han characters

ValueCountFrequency (%) 
的2862.1%
 
房2541.8%
 
有2321.7%
 
分2261.6%
 
钟1841.3%
 
一1621.2%
 
地1541.1%
 
大1391.0%
 
站1381.0%
 
和1381.0%
 
人1280.9%
 
到1240.9%
 
行1220.9%
 
中1220.9%
 
可1210.9%
 
间1190.9%
 
公1130.8%
 
敦1100.8%
 
区1100.8%
 
伦1060.8%
 
小990.7%
 
以940.7%
 
是940.7%
 
步930.7%
 
我920.7%
 
Other values (1208)1029074.3%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е29816.2%
 
а25213.7%
 
о1729.3%
 
н1025.5%
 
и1015.5%
 
т995.4%
 
с904.9%
 
м754.1%
 
р713.9%
 
в643.5%
 
д613.3%
 
к482.6%
 
л432.3%
 
я372.0%
 
ы331.8%
 
п331.8%
 
у321.7%
 
х301.6%
 
ь291.6%
 
й261.4%
 
б211.1%
 
ж160.9%
 
ш140.8%
 
з110.6%
 
г80.4%
 
Other values (23)764.1%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다763.5%
 
니703.3%
 
에622.9%
 
한492.3%
 
가472.2%
 
이472.2%
 
는422.0%
 
어401.9%
 
있401.9%
 
서381.8%
 
고371.7%
 
지351.6%
 
하351.6%
 
던301.4%
 
분291.4%
 
기281.3%
 
국271.3%
 
런271.3%
 
요251.2%
 
도241.1%
 
리241.1%
 
안241.1%
 
로231.1%
 
아231.1%
 
합231.1%
 
Other values (333)121856.8%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️12289.1%
 
︎75.1%
 
‍53.6%
 
̓21.5%
 
́10.7%
 

Most frequent Hebrew characters

ValueCountFrequency (%) 
י5712.3%
 
ו5411.6%
 
ר429.0%
 
ה296.2%
 
ל286.0%
 
ב286.0%
 
ת275.8%
 
ד265.6%
 
ק245.2%
 
ח173.7%
 
נ173.7%
 
א163.4%
 
ט153.2%
 
מ122.6%
 
ש102.2%
 
פ91.9%
 
ס91.9%
 
ן81.7%
 
כ81.7%
 
ם81.7%
 
ע71.5%
 
ג71.5%
 
צ61.3%
 
ז10.2%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の389.6%
 
で379.3%
 
す307.6%
 
ま256.3%
 
に246.0%
 
り194.8%
 
い174.3%
 
あ153.8%
 
は143.5%
 
と143.5%
 
も133.3%
 
な133.3%
 
が123.0%
 
お112.8%
 
る102.5%
 
か92.3%
 
ら92.3%
 
し92.3%
 
さ82.0%
 
き71.8%
 
て71.8%
 
く61.5%
 
た41.0%
 
ご41.0%
 
そ30.8%
 
Other values (21)399.8%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ﾝ4911.6%
 
ｽ399.2%
 
ﾄ358.3%
 
ｯ225.2%
 
ﾙ225.2%
 
ﾌ194.5%
 
ｸ184.3%
 
ｼ174.0%
 
ｲ133.1%
 
ｪ133.1%
 
ﾊ133.1%
 
ﾑ122.8%
 
ﾛ112.6%
 
ﾘ112.6%
 
ｶ112.6%
 
ﾋ102.4%
 
ﾀ92.1%
 
ﾗ92.1%
 
ﾚ81.9%
 
ｷ81.9%
 
ﾍ81.9%
 
ｳ61.4%
 
ﾁ61.4%
 
ｹ51.2%
 
ｱ51.2%
 
Other values (22)4410.4%
 

Most frequent Arabic characters

ValueCountFrequency (%) 
ر611.3%
 
ا59.4%
 
ي59.4%
 
م59.4%
 
ع47.5%
 
ن47.5%
 
ل35.7%
 
ة35.7%
 
ب23.8%
 
غ23.8%
 
ف23.8%
 
ش23.8%
 
ت23.8%
 
د23.8%
 
ق23.8%
 
خ11.9%
 
ص11.9%
 
ح11.9%
 
ك11.9%
 

Most frequent Greek characters

ValueCountFrequency (%) 
Τ1100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII4249949199.9%
 
Punctuation227990.1%
 
CJK13850< 0.1%
 
None8356< 0.1%
 
Hangul2140< 0.1%
 
Cyrillic1842< 0.1%
 
Misc Symbols702< 0.1%
 
Dingbats512< 0.1%
 
Hebrew465< 0.1%
 
Hiragana397< 0.1%
 
VS129< 0.1%
 
Geometric Shapes69< 0.1%
 
Arabic53< 0.1%
 
Math Operators13< 0.1%
 
Currency Symbols10< 0.1%
 
Compat Jamo3< 0.1%
 
Diacriticals3< 0.1%
 
Modifier Letters2< 0.1%
 
Letterlike Symbols2< 0.1%
 
CJK Compat1< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
738215517.4%
 
e36618118.6%
 
a28429956.7%
 
o27915516.6%
 
t26891696.3%
 
n23760515.6%
 
i22542255.3%
 
r21200085.0%
 
s19997794.7%
 
l15730533.7%
 
h13255733.1%
 
d12782303.0%
 
u10227662.4%
 
c8995852.1%
 
m8033811.9%
 
f7092651.7%
 
y6084691.4%
 
b6004151.4%
 
p5994741.4%
 
g5942291.4%
 
w5811951.4%
 
.4035840.9%
 
,3717830.9%
 
v3282900.8%
 
k3192330.8%
 
Other values (71)23632225.6%
 

Most frequent None characters

ValueCountFrequency (%) 
£228527.3%
 
é163519.6%
 
 6958.3%
 
｡3704.4%
 
à2893.5%
 
è2553.1%
 
­2533.0%
 
､2012.4%
 
·1992.4%
 
´1581.9%
 
¬1401.7%
 
ó1121.3%
 
￫1001.2%
 
á981.2%
 
ﾞ780.9%
 
²760.9%
 
⭐670.8%
 
í640.8%
 
ç600.7%
 
ｰ570.7%
 
ñ540.6%
 
ﾝ490.6%
 
°420.5%
 
ｽ390.5%
 
ô370.4%
 
Other values (116)94311.3%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’1554368.2%
 
•453319.9%
 
–11295.0%
 
‘3871.7%
 
”3511.5%
 
—2601.1%
 
“2501.1%
 
…2411.1%
 
 190.1%
 
‣170.1%
 
※160.1%
 
⁃10< 0.1%
 
‪8< 0.1%
 
‬7< 0.1%
 
 7< 0.1%
 
‑6< 0.1%
 
‍5< 0.1%
 
′3< 0.1%
 
″2< 0.1%
 
 2< 0.1%
 
‭1< 0.1%
 
‐1< 0.1%
 
‏1< 0.1%
 

Most frequent CJK characters

ValueCountFrequency (%) 
的2862.1%
 
房2541.8%
 
有2321.7%
 
分2261.6%
 
钟1841.3%
 
一1621.2%
 
地1541.1%
 
大1391.0%
 
站1381.0%
 
和1381.0%
 
人1280.9%
 
到1240.9%
 
行1220.9%
 
中1220.9%
 
可1210.9%
 
间1190.9%
 
公1130.8%
 
敦1100.8%
 
区1100.8%
 
伦1060.8%
 
小990.7%
 
以940.7%
 
是940.7%
 
步930.7%
 
我920.7%
 
Other values (1208)1029074.3%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е29816.2%
 
а25213.7%
 
о1729.3%
 
н1025.5%
 
и1015.5%
 
т995.4%
 
с904.9%
 
м754.1%
 
р713.9%
 
в643.5%
 
д613.3%
 
к482.6%
 
л432.3%
 
я372.0%
 
ы331.8%
 
п331.8%
 
у321.7%
 
х301.6%
 
ь291.6%
 
й261.4%
 
б211.1%
 
ж160.9%
 
ш140.8%
 
з110.6%
 
г80.4%
 
Other values (23)764.1%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★52674.9%
 
☆7410.5%
 
⚫223.1%
 
♥192.7%
 
☺142.0%
 
♡131.9%
 
♦111.6%
 
☕101.4%
 
⚪50.7%
 
♀20.3%
 
⚠20.3%
 
⚽10.1%
 
♣10.1%
 
☀10.1%
 
♛10.1%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✔16632.4%
 
✓12925.2%
 
✅6612.9%
 
❤509.8%
 
✬428.2%
 
✯254.9%
 
✨112.1%
 
✈61.2%
 
✴40.8%
 
❣20.4%
 
✪20.4%
 
➕20.4%
 
✌20.4%
 
➡10.2%
 
➖10.2%
 
❗10.2%
 
✆10.2%
 
❌10.2%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다763.6%
 
니703.3%
 
에622.9%
 
한492.3%
 
가472.2%
 
이472.2%
 
는422.0%
 
어401.9%
 
있401.9%
 
서381.8%
 
고371.7%
 
지351.6%
 
하351.6%
 
던301.4%
 
분291.4%
 
기281.3%
 
국271.3%
 
런271.3%
 
요251.2%
 
도241.1%
 
리241.1%
 
안241.1%
 
로231.1%
 
아231.1%
 
합231.1%
 
Other values (332)121556.8%
 

Most frequent VS characters

ValueCountFrequency (%) 
️12294.6%
 
︎75.4%
 

Most frequent Hebrew characters

ValueCountFrequency (%) 
י5712.3%
 
ו5411.6%
 
ר429.0%
 
ה296.2%
 
ל286.0%
 
ב286.0%
 
ת275.8%
 
ד265.6%
 
ק245.2%
 
ח173.7%
 
נ173.7%
 
א163.4%
 
ט153.2%
 
מ122.6%
 
ש102.2%
 
פ91.9%
 
ס91.9%
 
ן81.7%
 
כ81.7%
 
ם81.7%
 
ע71.5%
 
ג71.5%
 
צ61.3%
 
ז10.2%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
√646.2%
 
∙538.5%
 
⋯17.7%
 
≈17.7%
 

Most frequent CJK Compat characters

ValueCountFrequency (%) 
㎡1100.0%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
●5275.4%
 
►1014.5%
 
▪710.1%
 

Most frequent Modifier Letters characters

ValueCountFrequency (%) 
˜2100.0%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
₤550.0%
 
€550.0%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の389.6%
 
で379.3%
 
す307.6%
 
ま256.3%
 
に246.0%
 
り194.8%
 
い174.3%
 
あ153.8%
 
は143.5%
 
と143.5%
 
も133.3%
 
な133.3%
 
が123.0%
 
お112.8%
 
る102.5%
 
か92.3%
 
ら92.3%
 
し92.3%
 
さ82.0%
 
き71.8%
 
て71.8%
 
く61.5%
 
た41.0%
 
ご41.0%
 
そ30.8%
 
Other values (21)399.8%
 

Most frequent Arabic characters

ValueCountFrequency (%) 
ر611.3%
 
ا59.4%
 
ي59.4%
 
م59.4%
 
ع47.5%
 
ن47.5%
 
ل35.7%
 
ة35.7%
 
ب23.8%
 
غ23.8%
 
ف23.8%
 
ش23.8%
 
ت23.8%
 
د23.8%
 
ق23.8%
 
خ11.9%
 
ص11.9%
 
ح11.9%
 
ك11.9%
 

Most frequent Compat Jamo characters

ValueCountFrequency (%) 
ㅎ3100.0%
 

Most frequent Letterlike Symbols characters

ValueCountFrequency (%) 
™2100.0%
 

Most frequent Diacriticals characters

ValueCountFrequency (%) 
̓266.7%
 
́133.3%
 

experiences_offered
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
none
54222 
business
 
364
family
 
300
social
 
266
romantic
 
132
ValueCountFrequency (%) 
none5422298.1%
 
business3640.7%
 
family3000.5%
 
social2660.5%
 
romantic1320.2%
 
2022-08-08T15:46:29.540351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:29.568323image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:29.602084image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length8
Median length4
Mean length4.056363505
Min length4

Overview of Unicode Properties

Unique unicode characters15
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n10894048.6%
 
o5462024.4%
 
e5458624.3%
 
s13580.6%
 
i10620.5%
 
a6980.3%
 
l5660.3%
 
m4320.2%
 
c3980.2%
 
b3640.2%
 
u3640.2%
 
f3000.1%
 
y3000.1%
 
r1320.1%
 
t1320.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter224252100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n10894048.6%
 
o5462024.4%
 
e5458624.3%
 
s13580.6%
 
i10620.5%
 
a6980.3%
 
l5660.3%
 
m4320.2%
 
c3980.2%
 
b3640.2%
 
u3640.2%
 
f3000.1%
 
y3000.1%
 
r1320.1%
 
t1320.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin224252100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n10894048.6%
 
o5462024.4%
 
e5458624.3%
 
s13580.6%
 
i10620.5%
 
a6980.3%
 
l5660.3%
 
m4320.2%
 
c3980.2%
 
b3640.2%
 
u3640.2%
 
f3000.1%
 
y3000.1%
 
r1320.1%
 
t1320.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII224252100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n10894048.6%
 
o5462024.4%
 
e5458624.3%
 
s13580.6%
 
i10620.5%
 
a6980.3%
 
l5660.3%
 
m4320.2%
 
c3980.2%
 
b3640.2%
 
u3640.2%
 
f3000.1%
 
y3000.1%
 
r1320.1%
 
t1320.1%
 

neighborhood_overview
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct30233
Distinct (%)84.5%
Missing19506
Missing (%)35.3%
Memory size432.0 KiB
Conveniently located in Maida Vale one of London’s most picturesque and affluent neighbourhoods, Elgin Avenue is a stunning residential development offering 15 luxury apartments arranged over five floors. The area is characterised by numerous large, late Victorian and Edwardian houses and blocks of mansions flats. Elgin Avenue itself is the principle road that runs from Maida Vale to Harrow Road, close to many shops, bars and restaurants and within close proximity to the vast open green spaces of Paddington Recreation Ground and the canal walks of Little Venice.
 
40
Perfect central London location - Sainsbury’s Local 1 minute walk away - Some of the best restaurants in London are within a few minutes walking distance (St. John, Modern Pantry, Foxlow, Sushi Tetsu, Burger and Lobster, Jerusalem Tavern, Smiths of Smithfield, Bird of Smithfield) - 2 minute walk to Exmouth Market - with plenty of restaurants to choose from and amazing to go food's - 15 minute walk to Angel - where you'll find cinemas, restaurants, shops, etc. - 20 minute walk to Shoreditch - restaurants, bars, nightlife and quirky shops - 25 minute walk to Covent Garden, Soho, and Oxford Street
 
35
My place is situated in Brick Lane and Shoreditch, the coolest, most vibrant and exciting places to be in London!!! Famous for its street art and curry famous restaurants! The most exciting restaurants, cafés and bars in London are located in this neighbourhood. The area has a rich and fascinating history, which can be enjoyed through one of the walking tours available, The Jack the Ripper tour which is very popular. There is a flower market called Columbia Road Flower Market a short walk away every Sunday as well as food markets at weekends such as famous The Old Truman Brewery where you can find excellent food and vintage clothes and decor! The Spitalfields Market is 5min away and is one of the nicest markets in London and there are also nine other markets in the area, which are fascinating! You are also 20 minutes walk to the Tower of London and Tower Bridge, these are very popular for a first time London visitor. You can actually get a boat from there to anywhere else on the river,
 
29
Home to London’s most remarkable and historic attractions, Westminster is the epicenter of culture and commerce. Mixing government and financial offices with densely populated family homes, this eclectic community offers something for everyone. Enjoy the upscale restaurants and shopping boutiques in between visiting Big Ben and Buckingham Palace.
 
29
Fashionable Notting Hill is one of London's most iconic neighbourhoods. Best known as host to the world’s second biggest carnival (after Rio’s Mardi Gras) and home to the famous Portobello Road Market, Notting Hill is also a serious destination for culture buffs and those on the hunt for a quintessential London experience. On weekends throughout the year, crowds stroll the two-mile stretch of Portobello Road Market. Colourful terraces are interspersed with antiques shops, buskers, historic pubs and clothing stalls. Straddling the antiques and fashion markets (which are busiest on Saturdays) are the equally old-fashioned and charming produce markets, the calls of fruit and veg sellers helping give the place a Dickensian air. There’s street food of all kinds, from paella and bratwurst to crepes and churros. The markets have a grungier feel past the Westway sports centre, but it is worth persevering for the people-watching and to admire the 100m-long Portobello Wall, which features publ
 
25
Other values (30228)
35620 
ValueCountFrequency (%) 
Conveniently located in Maida Vale one of London’s most picturesque and affluent neighbourhoods, Elgin Avenue is a stunning residential development offering 15 luxury apartments arranged over five floors. The area is characterised by numerous large, late Victorian and Edwardian houses and blocks of mansions flats. Elgin Avenue itself is the principle road that runs from Maida Vale to Harrow Road, close to many shops, bars and restaurants and within close proximity to the vast open green spaces of Paddington Recreation Ground and the canal walks of Little Venice.400.1%
 
Perfect central London location - Sainsbury’s Local 1 minute walk away - Some of the best restaurants in London are within a few minutes walking distance (St. John, Modern Pantry, Foxlow, Sushi Tetsu, Burger and Lobster, Jerusalem Tavern, Smiths of Smithfield, Bird of Smithfield) - 2 minute walk to Exmouth Market - with plenty of restaurants to choose from and amazing to go food's - 15 minute walk to Angel - where you'll find cinemas, restaurants, shops, etc. - 20 minute walk to Shoreditch - restaurants, bars, nightlife and quirky shops - 25 minute walk to Covent Garden, Soho, and Oxford Street350.1%
 
My place is situated in Brick Lane and Shoreditch, the coolest, most vibrant and exciting places to be in London!!! Famous for its street art and curry famous restaurants! The most exciting restaurants, cafés and bars in London are located in this neighbourhood. The area has a rich and fascinating history, which can be enjoyed through one of the walking tours available, The Jack the Ripper tour which is very popular. There is a flower market called Columbia Road Flower Market a short walk away every Sunday as well as food markets at weekends such as famous The Old Truman Brewery where you can find excellent food and vintage clothes and decor! The Spitalfields Market is 5min away and is one of the nicest markets in London and there are also nine other markets in the area, which are fascinating! You are also 20 minutes walk to the Tower of London and Tower Bridge, these are very popular for a first time London visitor. You can actually get a boat from there to anywhere else on the river,290.1%
 
Home to London’s most remarkable and historic attractions, Westminster is the epicenter of culture and commerce. Mixing government and financial offices with densely populated family homes, this eclectic community offers something for everyone. Enjoy the upscale restaurants and shopping boutiques in between visiting Big Ben and Buckingham Palace.290.1%
 
Fashionable Notting Hill is one of London's most iconic neighbourhoods. Best known as host to the world’s second biggest carnival (after Rio’s Mardi Gras) and home to the famous Portobello Road Market, Notting Hill is also a serious destination for culture buffs and those on the hunt for a quintessential London experience. On weekends throughout the year, crowds stroll the two-mile stretch of Portobello Road Market. Colourful terraces are interspersed with antiques shops, buskers, historic pubs and clothing stalls. Straddling the antiques and fashion markets (which are busiest on Saturdays) are the equally old-fashioned and charming produce markets, the calls of fruit and veg sellers helping give the place a Dickensian air. There’s street food of all kinds, from paella and bratwurst to crepes and churros. The markets have a grungier feel past the Westway sports centre, but it is worth persevering for the people-watching and to admire the 100m-long Portobello Wall, which features publ25< 0.1%
 
Shoreditch is an arty area adjacent to the equally hip neighborhood of Hoxton. Young creatives and trendsetters fill the fashionable clubs and bars that surround Shoreditch High Street, Great Eastern Street, and Old Street, while an eclectic dining scene features everything from trendy chain restaurants and smart gastropubs to artisan coffee shops and noodle bars. Vintage and design shops are plentiful. Out of all the different activities to do and things to see in Shoreditch, checking out its street art is a must. There's a ton of galleries and museums like the Brick Lane Gallery and the Whitechapel Gallery, but the crème de la crème of London's art scene is along streets like Brick Lane, Club Row, Bateman's Row, Fashion Street and Bacon Street. A lot of people venture to Shoreditch just to check out its many markets which always draw a huge crowd (especially on Sundays). The Old Spitalfields Market and the Old Brick Lane Market are not to be missed by any first-time visitor to Shored25< 0.1%
 
Portobello Market is a ‘must’ as it is one of the most famous markets in the world - its only 5 minutes walk from the apartment. The best (and the busiest) day is Saturday. Notting Hill is known for boutiques style shopping so head down to Ledbury Road to enjoy it to the full. Rellik and Merchant are great for Vintage and Consignment shopping. Not to forget Westfield Shopping Center which is only 2 tube stops away, where you will be able to enjoy English high-street and brands all under the same roof.23< 0.1%
 
For your convenience, the neighbourhood offers plenty of restaurants (including vegetarian/vegan, Thai, Japanese, Mexican, pizza, falafels, diners and much more), grocery stores (including Whole Foods and Tesco, Sainsbury's), coffee shops, 24-hour delis, pharmacies, cinemas, nightlife options and more.23< 0.1%
 
East London is a lively and unique area with plenty to do and see! Short walk to major tube stations (Zone 1), street markets, excellent restaurants and bars, independent boutique shops and cafes. You have everything you need in Shoreditch but if you wish to visit all the big attractions then you have easy access to central London. We are close to London Tower, St Pauls and Spitalfields market. For the West End, Buckingham Palace, Oxford Circus you just need to jump on the underground from Liverpool street which is a 12-15minute walk away!22< 0.1%
 
Located to the South West of London and just a short walk over the River Thames from affluent Chelsea, Battersea is a popular choice for families and young professionals alike. With a combination of green spaces and a selection of trendy bars and restaurants, the area is abuzz with people, both day and night. Less than 3 miles from Charing Cross and spreading out from Clapham Junction, the area has easy access routes to most areas of Central London and beyond. An idyllic riverside location, and home to the Battersea Children’s Zoo, Battersea Park offers a tranquil escape from the activity of Chelsea’s nearby King’s Road, and Battersea’s own bustling shopping scene. From the park, the iconic four chimneys of Battersea Power Station can be seen protruding into the sky. The station has long stood a favoured landmark of the area, with its unique design shaping Battersea’s skyline since the 1930’s. Now a decommissioned, the previous coal-fired power station is currently under developmen21< 0.1%
 
Right in the centre of Gloucester Road and south Kensington, within walking distance to Gloucester Road station (3 minute walk) and South Kensington ( 10 minute walk ). The Area is filled with lively Bars, Restaurants and Cafe’s that have their own unique style which is always great to experience. From luxurious restaurants to Extremely tasty street food, Gloucester Road has it all.21< 0.1%
 
Soho is situated in the heart of London’s West End whose primary focus is London’s theatre scene. Diverse, fun-loving and never quiet, Soho attracts a wide mix of people. The area covers 1 square mile so it is easy to explore on foot. Soho is the perfect location for bars, nightclubs, restaurants, shopping and theatres. Our apartments lie within a few minutes’ walk of either Leicester Square, Piccadilly Circus, Tottenham Court Road and Oxford Circus Stations as well as many public bus routes. It’s history, venues and atmosphere make it a must-see for tourists and Londoners alike.21< 0.1%
 
It's the most fun place to be in London. Brick Lane has a party atmosphere every evening and this flat is just far enough away that you don't get the noise. Shoreditch is 15 minutes walk away. It has a great night life at the weekend. The most exciting restaurants, cafés and bars in London open in this neighbourhood. The area has a rich and fascinating history, which can be enjoyed through one of the walking tours available. The Jack the Ripper tour is very popular. There are many artists, galleries and artist studios nearby. One can even go on a tour of the artist Banksy's work in the area. You are also 15 minutes walk to the Tower of London and Tower Bridge. These are very popular for a first time visitor to London. You can actually get a boat from there to anywhere else on the river for £6. You can also get on a historic routemaster bus from there to Trafalgar Square. The Gherkin is 15 minutes walk away. It's probably London's most iconic skyscraper. There's a lot to see and do in t21< 0.1%
 
Chelsea Attractions: You’re in the posh part of town now, and Chelsea won’t let you forget it. As it’s now the “Royal” borough of Kensington and Chelsea, what was already a pretty gentrified area has become more exclusive than the presidential suite at the Ritz. Well, not quite, but it is definitely the hotspot to be seen in, rubbing shoulders with London celebs. It’s the home of the famous “Made in Chelsea” TV series, but also home to some of London’s finest cultural attractions too. Recommended Attraction in Chelsea: Jump on the tube to Sloane Square and then immediately turn left out of the station. You’re at the Royal Court Theatre. Famed since it opened as being on the cutting edge of theatre, especially new writing and politically motivated theatre, this really is the beating heart of modern British arts culture. As well as having two theatre spaces, the place also has a great underground bar and restaurant with a small bookshop attached. Tickets to shows go from very cheap to qu20< 0.1%
 
LOCAL ATTRACTIONS: Opera Holland Park1.5 km Holland Park, London Baden-Powell House1.9 km 65-67 Queens Gate, London Kensington Palace2.2 km The Broad Walk, London Fulham Palace Museum1.8 km Bishops Avenue, London Natural History Museum2.1 km Cromwell Road, London The Mosaic Rooms is situated 1200 meters away. London city centre is 6 km away. The property is a 5-minute walk from the coffee shop The Deli Bar. The West Kensington, North End Rd Hammersmith Rd (E) bus stop is accessible in 10 minutes' walk19< 0.1%
 
There are a number of coffee shop outlets (Café Nero, Pret-a-Manger, Starbucks etc.) adjacent to and/or within a five minute walk of Duchy House where you can pick up a coffee and other light refreshments. A small supermarket (Tesco's Express) and Boots the Chemist is also located across the road with a small Sainsbury's Local supermarket located a short-distance along the Strand towards Trafalgar Square .18< 0.1%
 
The apartment is perfectly sandwiched between Westbourne Grove, Notting Hill Gate, with Holland Park and Kensington a short walk away. You can reach all the local beautiful open spaces on foot; Kensington Palace, Hyde Park and Holland Park. Notting Hill Gate, Portobello Road, Westbourne Grove and Kensington Church Street are full to bursting point with cool bars, traditional pubs and fantastic restaurants.18< 0.1%
 
perfectly located in the heart of Covent Garden/central London, upmarket/safe and secure residential area, all major central London sights on your doorstep, you cant beat that location!17< 0.1%
 
Please select our profile and take a look at our guide book completed on apartment #4, do let us know if you have any questions :)17< 0.1%
 
Pimlico is like an island in the centre of London. It's very residential, quiet, full of those white Victorian houses from 1850's (the studio is in one of them) but also has a lot of options of restaurants, shops and theatres. The Queen and the Prime Minister are the most notorious residents under the same postcode SW1. :)17< 0.1%
 
History meets the future in this up-and-coming neighborhood where William Shakespeare himself performed Romeo and Juliet in the 1500s. Take a mural tour; sample eclectic offerings of ethnic, pub or street food; shop for vintage treasures on Brick Lane; explore the colorful Sunday flower and plant market on Columbia Road; haunt bars and clubs 'til the wee hours; view work by leading contemporary artists like Damien Hirst in the Hoxton Square galleries; browse the market stalls on Ezra Street; and explore Boxpark, a pop-up mall made of shipping containers. Shoreditch is 90 minutes by Tube from Heathrow, 70 minutes by Tube and train from Gatwick and 30 minutes or less by Tube to the Tower of London, National Gallery, London Eye and other popular destinations.17< 0.1%
 
The magnificent St Paul’s Cathedral is one of London’s most popular tourist attractions, but stray just a little way off the busy roads that surround the cathedral and there are plenty of hidden gems to discover. The winding lanes south of St Paul’s Churchyard are full of old pubs, little shops and even an extremely fine youth hostel. As one of the oldest parts of the city, the St Paul’s area is also home to much of London’s rich literary heritage. The newspaper industry used to be located at Fleet Street and many famed authors have lived and worked in and around this area, including Charles Dickens, Dr. Johnson and the diarist, Samuel Pepys. St Paul’s has recently become a trendy hotspot in the heart of the City of London thanks to plush, new shopping centre, One New Change. The contemporary glass-walled complex, located on Cheapside, has put the City back on the culinary map, offering a wide range of restaurants, cafés and bars. Whether you are looking for a quick lunch during the we17< 0.1%
 
Pubs, shops, markets & restaurants: Shoreditch, Brick Lane and Spitalfields are right at your doorstep. What more is there to say?16< 0.1%
 
Camden Town has been a residential area since the 1790s. But it was only the development of the Grand Union Canal and the improved railway transport that turned it into a bustling part of London. Today, visitors and locals gather here to hunt for treasures in Camden's markets, stroll by Regent's Canal, sample cuisine from around the world and listen to live music. Many famous people, including Dylan Thomas, Walter Sickert and Amy Winehouse, have made Camden their home. Camden has a labyrinth of open-air markets and other stores that will keep even the keenest shoppers busy, such as: * Camden Lock Market – selling crafts, books, clothing, jewellery and fast food. * Camden Lock Village – clothing and accessories, as well as a range of unusual items. * Camden Market – originally named Buck Street, this market sells fashion for all tastes. * Inverness Street Market – a few of the original fruit stands remain but most have been taken over by footwear and souvenir stalls. * Stables Market – 16< 0.1%
 
Situated smack bang in the centre of south London, Brixton has become a go-to haunt for foodies, clubbers, artists and rockers alike. This cultural mecca is filled with a sense of community, which is evident for anyone who has shopped in Brixton Village or enjoyed a drink with local residents outside the Ritzy cinema. And for those in search of a party, Brixton’s famous live venues, including the Brixton Academy and Hootananny, draw in the late night crowds.16< 0.1%
 
Other values (30208)3523563.7%
 
(Missing)1950635.3%
 
2022-08-08T15:46:29.692939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27709 ?
Unique (%)77.4%
2022-08-08T15:46:29.749503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length161
Mean length268.1914297
Min length1

Overview of Unicode Properties

Unique unicode characters914
Unique unicode categories21 ?
Unique unicode scripts8 ?
Unique unicode blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
249558416.8%
 
e12603888.5%
 
a10924317.4%
 
t9615206.5%
 
n9110586.1%
 
o8950426.0%
 
s7973505.4%
 
r7710875.2%
 
i7579145.1%
 
l5063983.4%
 
h4682243.2%
 
d4234232.9%
 
u3734962.5%
 
c3045982.1%
 
m2477021.7%
 
f2433171.6%
 
y2136191.4%
 
g2013701.4%
 
p1968711.3%
 
w1830941.2%
 
b1661011.1%
 
,1462321.0%
 
k1340570.9%
 
.1202230.8%
 
v943360.6%
 
Other values (889)8612605.8%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1127567176.0%
 
Space Separator249599816.8%
 
Uppercase Letter5679443.8%
 
Other Punctuation3195672.2%
 
Decimal Number843930.6%
 
Dash Punctuation299760.2%
 
Close Punctuation164520.1%
 
Open Punctuation162210.1%
 
Final Punctuation149480.1%
 
Other Letter2117< 0.1%
 
Math Symbol973< 0.1%
 
Initial Punctuation883< 0.1%
 
Control471< 0.1%
 
Currency Symbol320< 0.1%
 
Other Symbol274< 0.1%
 
Connector Punctuation200< 0.1%
 
Format133< 0.1%
 
Modifier Symbol79< 0.1%
 
Other Number35< 0.1%
 
Modifier Letter23< 0.1%
 
Nonspacing Mark17< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e126038811.2%
 
a10924319.7%
 
t9615208.5%
 
n9110588.1%
 
o8950427.9%
 
s7973507.1%
 
r7710876.8%
 
i7579146.7%
 
l5063984.5%
 
h4682244.2%
 
d4234233.8%
 
u3734963.3%
 
c3045982.7%
 
m2477022.2%
 
f2433172.2%
 
y2136191.9%
 
g2013701.8%
 
p1968711.7%
 
w1830941.6%
 
b1661011.5%
 
k1340571.2%
 
v943360.8%
 
x256210.2%
 
q179410.2%
 
j151710.1%
 
Other values (59)135420.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
T6165610.9%
 
S515919.1%
 
L510869.0%
 
C465388.2%
 
B348306.1%
 
P335905.9%
 
H302875.3%
 
W284005.0%
 
R252164.4%
 
A249484.4%
 
M235054.1%
 
I213443.8%
 
E205603.6%
 
G179413.2%
 
O155302.7%
 
F145502.6%
 
N135252.4%
 
K122402.2%
 
V108801.9%
 
D105591.9%
 
Y53450.9%
 
J46620.8%
 
U43770.8%
 
Q30740.5%
 
Z14580.3%
 
Other values (22)252< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2495584> 99.9%
 
 372< 0.1%
 
 42< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,14623245.8%
 
.12022337.6%
 
'215436.7%
 
!75552.4%
 
:59631.9%
 
&58971.8%
 
/52391.6%
 
;22830.7%
 
"14860.5%
 
*12490.4%
 
•8060.3%
 
?5360.2%
 
·1880.1%
 
…110< 0.1%
 
%66< 0.1%
 
#65< 0.1%
 
､46< 0.1%
 
｡41< 0.1%
 
@26< 0.1%
 
§8< 0.1%
 
･3< 0.1%
 
\2< 0.1%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(1614399.5%
 
[730.5%
 
{3< 0.1%
 
【1< 0.1%
 
„1< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)1636999.5%
 
]730.4%
 
》6< 0.1%
 
}3< 0.1%
 
】1< 0.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-2754491.9%
 
–18386.1%
 
—5942.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
12063324.4%
 
01695720.1%
 
51451917.2%
 
21328415.7%
 
356526.7%
 
439074.6%
 
727133.2%
 
825293.0%
 
622262.6%
 
919732.3%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’1461997.8%
 
”3262.2%
 
»3< 0.1%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£31197.2%
 
€61.9%
 
$30.9%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
´4658.2%
 
`2329.1%
 
˜56.3%
 
¨45.1%
 
^11.3%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
¾3188.6%
 
²25.7%
 
¼12.9%
 
½12.9%
 

Most frequent Control characters

ValueCountFrequency (%) 
471100.0%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
‘53760.8%
 
“34539.1%
 
«10.1%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
>48349.6%
 
+28929.7%
 
=10310.6%
 
|484.9%
 
~252.6%
 
<161.6%
 
￫60.6%
 
⋅20.2%
 
⁄10.1%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★14653.3%
 
⭕228.0%
 
✔155.5%
 
°145.1%
 
⭐103.6%
 
✓93.3%
 
✅93.3%
 
●82.9%
 
⚫62.2%
 
◎51.8%
 
™51.8%
 
❤51.8%
 
☆41.5%
 
►31.1%
 
☺20.7%
 
☞20.7%
 
✈20.7%
 
©20.7%
 
￮20.7%
 
☕10.4%
 
⚓10.4%
 
✌10.4%
 

Most frequent Format characters

ValueCountFrequency (%) 
­13097.7%
 
‪10.8%
 
‬10.8%
 
‎10.8%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
分391.8%
 
的391.8%
 
钟341.6%
 
有311.5%
 
馆281.3%
 
地261.2%
 
区251.2%
 
伦221.0%
 
敦221.0%
 
中211.0%
 
和200.9%
 
大190.9%
 
公180.9%
 
店180.9%
 
市180.9%
 
餐180.9%
 
超160.8%
 
行160.8%
 
近160.8%
 
到160.8%
 
心150.7%
 
美140.7%
 
니140.7%
 
다140.7%
 
铁140.7%
 
Other values (650)158474.8%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_200100.0%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️1694.1%
 
́15.9%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ1147.8%
 
ｰ939.1%
 
ﾟ313.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1184293079.9%
 
Common298094620.1%
 
Han1638< 0.1%
 
Cyrillic685< 0.1%
 
Hangul370< 0.1%
 
Katakana83< 0.1%
 
Hiragana26< 0.1%
 
Inherited17< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e126038810.6%
 
a10924319.2%
 
t9615208.1%
 
n9110587.7%
 
o8950427.6%
 
s7973506.7%
 
r7710876.5%
 
i7579146.4%
 
l5063984.3%
 
h4682244.0%
 
d4234233.6%
 
u3734963.2%
 
c3045982.6%
 
m2477022.1%
 
f2433172.1%
 
y2136191.8%
 
g2013701.7%
 
p1968711.7%
 
w1830941.5%
 
b1661011.4%
 
k1340571.1%
 
v943360.8%
 
T616560.5%
 
S515910.4%
 
L510860.4%
 
Other values (67)4752014.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
249558483.7%
 
,1462324.9%
 
.1202234.0%
 
-275440.9%
 
'215430.7%
 
1206330.7%
 
0169570.6%
 
)163690.5%
 
(161430.5%
 
’146190.5%
 
5145190.5%
 
2132840.4%
 
!75550.3%
 
:59630.2%
 
&58970.2%
 
356520.2%
 
/52390.2%
 
439070.1%
 
727130.1%
 
825290.1%
 
;22830.1%
 
622260.1%
 
919730.1%
 
–18380.1%
 
"1486< 0.1%
 
Other values (81)80350.3%
 

Most frequent Han characters

ValueCountFrequency (%) 
分392.4%
 
的392.4%
 
钟342.1%
 
有311.9%
 
馆281.7%
 
地261.6%
 
区251.5%
 
伦221.3%
 
敦221.3%
 
中211.3%
 
和201.2%
 
大191.2%
 
公181.1%
 
店181.1%
 
市181.1%
 
餐181.1%
 
超161.0%
 
行161.0%
 
近161.0%
 
到161.0%
 
心150.9%
 
美140.9%
 
铁140.9%
 
步140.9%
 
是140.9%
 
Other values (445)110567.5%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
니143.8%
 
다143.8%
 
이102.7%
 
지92.4%
 
있92.4%
 
기92.4%
 
한82.2%
 
서82.2%
 
하82.2%
 
가71.9%
 
도71.9%
 
역61.6%
 
은61.6%
 
인61.6%
 
어61.6%
 
치51.4%
 
리51.4%
 
근51.4%
 
에51.4%
 
트51.4%
 
고51.4%
 
런41.1%
 
던41.1%
 
아41.1%
 
들41.1%
 
Other values (132)19753.2%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️1694.1%
 
́15.9%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
а20129.3%
 
е19728.8%
 
о375.4%
 
т233.4%
 
р223.2%
 
и213.1%
 
н192.8%
 
с172.5%
 
м152.2%
 
к142.0%
 
у111.6%
 
й101.5%
 
д101.5%
 
в91.3%
 
ы91.3%
 
п81.2%
 
х71.0%
 
я71.0%
 
ш50.7%
 
б50.7%
 
ц40.6%
 
л40.6%
 
з30.4%
 
ь30.4%
 
ж30.4%
 
Other values (14)213.1%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ﾝ1012.0%
 
ﾄ910.8%
 
ｽ78.4%
 
ｪ67.2%
 
ｼ56.0%
 
ﾙ44.8%
 
ﾚ44.8%
 
ｯ44.8%
 
ﾌ33.6%
 
ｲ22.4%
 
ﾀ22.4%
 
ﾘ22.4%
 
ﾗ22.4%
 
ﾛ22.4%
 
ｳ22.4%
 
ﾊ22.4%
 
ｶ22.4%
 
ｱ11.2%
 
ﾒ11.2%
 
ｴ11.2%
 
ｵ11.2%
 
ｷ11.2%
 
ﾂ11.2%
 
ｮ11.2%
 
ﾋ11.2%
 
Other values (7)78.4%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の623.1%
 
り27.7%
 
で27.7%
 
に27.7%
 
ま27.7%
 
す27.7%
 
よ13.8%
 
や13.8%
 
も13.8%
 
あ13.8%
 
く13.8%
 
は13.8%
 
が13.8%
 
け13.8%
 
ら13.8%
 
れ13.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1480095999.8%
 
Punctuation192220.1%
 
None3541< 0.1%
 
CJK1638< 0.1%
 
Cyrillic685< 0.1%
 
Hangul370< 0.1%
 
Misc Symbols162< 0.1%
 
Dingbats41< 0.1%
 
Hiragana26< 0.1%
 
VS16< 0.1%
 
Geometric Shapes16< 0.1%
 
Currency Symbols6< 0.1%
 
Modifier Letters5< 0.1%
 
Letterlike Symbols5< 0.1%
 
Math Operators2< 0.1%
 
Diacriticals1< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
249558416.9%
 
e12603888.5%
 
a10924317.4%
 
t9615206.5%
 
n9110586.2%
 
o8950426.0%
 
s7973505.4%
 
r7710875.2%
 
i7579145.1%
 
l5063983.4%
 
h4682243.2%
 
d4234232.9%
 
u3734962.5%
 
c3045982.1%
 
m2477021.7%
 
f2433171.6%
 
y2136191.4%
 
g2013701.4%
 
p1968711.3%
 
w1830941.2%
 
b1661011.1%
 
,1462321.0%
 
k1340570.9%
 
.1202230.8%
 
v943360.6%
 
Other values (71)8355245.6%
 

Most frequent None characters

ValueCountFrequency (%) 
é168247.5%
 
 37210.5%
 
£3118.8%
 
·1885.3%
 
è1584.5%
 
­1303.7%
 
à631.8%
 
´461.3%
 
､461.3%
 
á451.3%
 
｡411.2%
 
¾310.9%
 
ç270.8%
 
ô240.7%
 
ê220.6%
 
⭕220.6%
 
í200.6%
 
ó160.5%
 
°140.4%
 
ﾞ110.3%
 
â100.3%
 
ﾝ100.3%
 
⭐100.3%
 
ù90.3%
 
ﾄ90.3%
 
Other values (75)2246.3%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’1461976.1%
 
–18389.6%
 
•8064.2%
 
—5943.1%
 
‘5372.8%
 
“3451.8%
 
”3261.7%
 
…1100.6%
 
 420.2%
 
‪1< 0.1%
 
‬1< 0.1%
 
⁄1< 0.1%
 
„1< 0.1%
 
‎1< 0.1%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★14690.1%
 
⚫63.7%
 
☆42.5%
 
☺21.2%
 
☞21.2%
 
☕10.6%
 
⚓10.6%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✔1536.6%
 
✓922.0%
 
✅922.0%
 
❤512.2%
 
✈24.9%
 
✌12.4%
 

Most frequent CJK characters

ValueCountFrequency (%) 
分392.4%
 
的392.4%
 
钟342.1%
 
有311.9%
 
馆281.7%
 
地261.6%
 
区251.5%
 
伦221.3%
 
敦221.3%
 
中211.3%
 
和201.2%
 
大191.2%
 
公181.1%
 
店181.1%
 
市181.1%
 
餐181.1%
 
超161.0%
 
行161.0%
 
近161.0%
 
到161.0%
 
心150.9%
 
美140.9%
 
铁140.9%
 
步140.9%
 
是140.9%
 
Other values (445)110567.5%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
니143.8%
 
다143.8%
 
이102.7%
 
지92.4%
 
있92.4%
 
기92.4%
 
한82.2%
 
서82.2%
 
하82.2%
 
가71.9%
 
도71.9%
 
역61.6%
 
은61.6%
 
인61.6%
 
어61.6%
 
치51.4%
 
리51.4%
 
근51.4%
 
에51.4%
 
트51.4%
 
고51.4%
 
런41.1%
 
던41.1%
 
아41.1%
 
들41.1%
 
Other values (132)19753.2%
 

Most frequent VS characters

ValueCountFrequency (%) 
️16100.0%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
●850.0%
 
◎531.2%
 
►318.8%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
а20129.3%
 
е19728.8%
 
о375.4%
 
т233.4%
 
р223.2%
 
и213.1%
 
н192.8%
 
с172.5%
 
м152.2%
 
к142.0%
 
у111.6%
 
й101.5%
 
д101.5%
 
в91.3%
 
ы91.3%
 
п81.2%
 
х71.0%
 
я71.0%
 
ш50.7%
 
б50.7%
 
ц40.6%
 
л40.6%
 
з30.4%
 
ь30.4%
 
ж30.4%
 
Other values (14)213.1%
 

Most frequent Modifier Letters characters

ValueCountFrequency (%) 
˜5100.0%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
€6100.0%
 

Most frequent Letterlike Symbols characters

ValueCountFrequency (%) 
™5100.0%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
の623.1%
 
り27.7%
 
で27.7%
 
に27.7%
 
ま27.7%
 
す27.7%
 
よ13.8%
 
や13.8%
 
も13.8%
 
あ13.8%
 
く13.8%
 
は13.8%
 
が13.8%
 
け13.8%
 
ら13.8%
 
れ13.8%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
⋅2100.0%
 

Most frequent Diacriticals characters

ValueCountFrequency (%) 
́1100.0%
 

transit
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct31098
Distinct (%)87.7%
Missing19807
Missing (%)35.8%
Memory size432.0 KiB
Transport links are excellent with convenient access to the M40 via A40 and major routes to the West End and City. Westbourne Park Underground Station is 0.26 miles away with Maida Vale Underground Station 0.45 miles away. The newest station is Heathrow Airport which can also be reached via Paddington Station which takes 15 minutes.
 
47
Very convenient transport links! Closest Tube is Farringdon or Chancery Lane (5 minute walk) - Lots of bus lines to take you anywhere you need to go
 
36
Please see description for directions.
 
30
Nearest tube station is Aldgate East (District and Hammersmith and City line) - 8min walk. We are also close to Liverpool Street (Circle, Metropolitan and Hammersmith and City Line) - 15min walk Shoreditch High Street (Overground) - 11min walk Whitechapel (Overground, District and Hammersmith and City line) - 13 min walk There are also a great bus routes to the City and West End, perfect for sightseeing and shopping (No 25 or 205 bus). There is also a bike stand close by which is part of the self service cycle net work across London.
 
27
It's surprisingly easy to get to and from Shoreditch using the bus, which has a ton of routes linking Shoreditch to the City of London, as well as the western, northern, and southern parts of London. Many buses follow along Kingsland Road and Old Street, with bus routes like (Phone number hidden by Airbnb) and N205 going towards Bethnal Green or Old Street, and other routes like (Phone number hidden by Airbnb) and N26 travelling towards Dalston Junction or Cambridge Heath. The nearest underground stations to Shoreditch High Street are Old Street (an eight-minute walk away), Liverpool Street (a nine-minute walk away) and Moorgate (an 11-minute walk away). The London Overground's East London line also connects to various stations in the East End which run through Shoreditch High Street as well as Whitechapel, Shadwell, Wapping and Hoxton. There is a Euro Car Park located at (Phone number hidden by Airbnb) Shoreditch High Street, which is open every day from 7 a.m. to 5 p.m., and costs £4
 
25
Other values (31093)
35312 
ValueCountFrequency (%) 
Transport links are excellent with convenient access to the M40 via A40 and major routes to the West End and City. Westbourne Park Underground Station is 0.26 miles away with Maida Vale Underground Station 0.45 miles away. The newest station is Heathrow Airport which can also be reached via Paddington Station which takes 15 minutes.470.1%
 
Very convenient transport links! Closest Tube is Farringdon or Chancery Lane (5 minute walk) - Lots of bus lines to take you anywhere you need to go360.1%
 
Please see description for directions.300.1%
 
Nearest tube station is Aldgate East (District and Hammersmith and City line) - 8min walk. We are also close to Liverpool Street (Circle, Metropolitan and Hammersmith and City Line) - 15min walk Shoreditch High Street (Overground) - 11min walk Whitechapel (Overground, District and Hammersmith and City line) - 13 min walk There are also a great bus routes to the City and West End, perfect for sightseeing and shopping (No 25 or 205 bus). There is also a bike stand close by which is part of the self service cycle net work across London.27< 0.1%
 
It's surprisingly easy to get to and from Shoreditch using the bus, which has a ton of routes linking Shoreditch to the City of London, as well as the western, northern, and southern parts of London. Many buses follow along Kingsland Road and Old Street, with bus routes like (Phone number hidden by Airbnb) and N205 going towards Bethnal Green or Old Street, and other routes like (Phone number hidden by Airbnb) and N26 travelling towards Dalston Junction or Cambridge Heath. The nearest underground stations to Shoreditch High Street are Old Street (an eight-minute walk away), Liverpool Street (a nine-minute walk away) and Moorgate (an 11-minute walk away). The London Overground's East London line also connects to various stations in the East End which run through Shoreditch High Street as well as Whitechapel, Shadwell, Wapping and Hoxton. There is a Euro Car Park located at (Phone number hidden by Airbnb) Shoreditch High Street, which is open every day from 7 a.m. to 5 p.m., and costs £425< 0.1%
 
Clapham Junction is less than 15 minutes and most of central London is accessible by bus within 30 minutes. South Kensington tube station (zone 1) is accessible within 15 minutes of the property.23< 0.1%
 
3-5 min to underground station, busses/taxi within minutes22< 0.1%
 
Towerhill DLR station is a stone throw away, a 3 minutes walk and then there is the Tower Hill and Aldagte East tube stations just a 5-6 minutes’ walk on either side of the studio building. The District, Hammersmith & Circle line are accessible from The Aldgate east station and Tower Hill station. The Metropolitan and circle lines can be taken from the Aldgate and Liverpool station potentially giving our guests access to all places of interests within minutes.22< 0.1%
 
Visitors to Battersea have a choice of shopping locations from the famed Kings' Road in Chelsea, just a short walk away over the beautiful Albert Bridge or the retail delights along Battersea’s Northcote Road. Most notable for its independent boutiques and antique market, Northcote Road is also lined with a range of cafes and bars. Battersea is often praised for its selection of trendy bars, attracting a younger crowd to the area as evening falls. Offering a vibrant mix of cocktail bars, riverside pubs and DJ bars, Battersea has a venue for every occasion. For those seeking a culture fix, Battersea Arts Centre is the answer. Set in the former town hall, a stunning Grade II listed building, the venue plays host to an eclectic mix of theatrical performances.21< 0.1%
 
3 minute walk to Gloucester Road or a 10 minute walk to South Kensington. Right in the centre of London! Gloucester Road is very well connected to the rest of central London and beyond.21< 0.1%
 
You have a choice of buses that link you to Central London in just a few minutes. Notting Hill Gate tube station is a 4-5 minute walk or you can stroll down to High Street Kensington station in 10-12 minutes. Black cabs and Ubers are very easy to find and much of the local shopping and sightseeing is easily done on foot.19< 0.1%
 
Situated in central London along the bustling Strand, Duchy House is within easy reach of major attractions such as: Somerset House, The Courtauld Gallery, South Bank London, Covent Garden, Leicester Square and Oxford Street. Excellent travel links make Duchy House easy to get to, with 5 underground stations less than 800 meters from the property and several bus routes operating nearby.19< 0.1%
 
There are plenty of transport options from Shoreditch to anywhere in London. The main closest underground station is Liverpool Street which connects you directly to Oxford Circus. Other stations include Aldgate East and Old Street which are a short walk away. There is also an overground train which takes you to other East London locations and connect to the DLR. Bus #8 from Bethnal Green Rd runs to Tottenham Court passing Liverpool St, Bank and St Pauls. Unfortunately we can offer any car parking so you will need to either pre-book a car spot online or there are two car parks located off Brick Lane that offer all day parking, need to arrive very early before commuters or after 4pm. (not available on weekends) For after hours and weekend parking you can find free spots dotted around the area but you will just need to spend time searching.17< 0.1%
 
Aldgate East Station... 3min walk from the apartment Aldgate Station... 10min walk Liverpool Street station... 15min Whitechapel Station... 15min Tower Hill Station... 15min Bus stop 3min walk away from apartment Santander bike hire outside building.17< 0.1%
 
Tube: Tooting Bec and Tooting Broadway stations are both on the Northern Line, linking the area to Waterloo or London Bridge in about 20 minutes, and to Moorgate in 25 minutes. Rail: Thameslink services run through Tooting station with trains to St Albans via Blackfriars to the north and Sutton via Wimbledon to the south. Bus: Tooting is well served for buses, with routes 44 (Victoria), 57 (Kingston), 77 (Waterloo), 333 (Elephant & Castle), and 355 (Brixton) all passing through the area. There is also a night bus, the N44. Cycle: Tooting is on the CS7 cycle superhighway, offering a faster and safer cycle route into the City. Road: The London Road in Tooting leads directly to the A23, which means that the South Coast is only an hour and a half away, and that connects to the M25, giving easy access to the rest of the country. Getting away: Gatwick and Heathrow airports are less than an hour away by road or public transport. Tooting has easy access to main airports and central London.15< 0.1%
 
Underground stations which are around: West Kensington200 m Barons Court600 m West Brompton700 m Earl's Court900 m Kensington (Olympia)1.0 km Fulham Broadway1.1 km Hammersmith (District & Piccadilly)1.3 km Hammersmith (H&C)1.3 km High Street Kensington1.5 km Parsons Green1.5 km15< 0.1%
 
Nearest Underground (TheTube) Leicester Square Piccadilly Circus Tottenham Court Road Oxford Circus Bus Numerous bus routes are a short walk from the apartment Airports Travelling from the following Airports into London (Journey times are approximate):- Heathrow 17 miles 40 minutes Gatwick 29 miles 60 minutes City of London 10 miles 30 minutes Luton 33 miles 48 minutes Stansted 36 miles 53 minutes14< 0.1%
 
Location on the Zone 1; only a three minute walk from Aldgate East Tube Station. It is a five minute tube ride from Tower Bridge (as well as London Bridge).14< 0.1%
 
Piccadilly underground station is a ten second walk from your front door. There are also bus stops up and down the road that will connect you to different areas around the capital.14< 0.1%
 
5 minute walk to Gloucester Road station. 8 minute walk to South Kensington 8 minute walk to Hyde park 12 minute walk to Knightsbridge and the world famous Harrods!14< 0.1%
 
Great transport links via Victoria stations: - Victoria train and underground: 10 min walk - Victoria Coach station - 9 min walk - Pimlico underground - 7 min walk Paddington - 25 min by tube King's Cross St. Pancras - 20 min by tube Heathrow - 1h 10 min by tube Gatwick - 30 min by Gatwick Express from Victoria Stansted - 1h 20 min by bus from Victoria Luton - 1h 20 min by bus from Victoria Buckingham Palace - 20 min walk Big Ben - 20 min walk London Eye - 20 min walk Westminster Abbey - 20 min walk Hyde Park - 25 min walk Piccadilly Circus - 18 min by tube Trafalgar Square - 15 min by bus Covent Garden - 20 min by tube Oxford Circus - 13 min by tube Within 1 min walk, just at the corner, there are also many docking stations for bike hire (Santander bike hire scheme).14< 0.1%
 
Getting around London couldn’t be easier. Paddington Station is less than 4 minutes’ walk away and Lancaster Gate station is also only 6 minutes’ walk away. Paddington station is served by a large selection of underground lines as well as the Heathrow Express & National rail. Almost everything you would ever want to do in London will be no more than 5-15 minutes’ journey time from this amazingly located apartment.13< 0.1%
 
It is situated in ZONE 1 which is the centre of the city. Near Tower of London, St Pauls etc. This is the City Centre officially. However, we are in the East End, NOT the West End as most tourists think (Covent Garden, Soho, Oxford st). It is still zone 1 but you will have to catch a short train or bus ride to the West End. The Closest Transport is OVERGROUND Train - Shoreditch High Street Station UNDERGROUND/TUBE Train - Liverpool St Station OR Old St Station BUS #8 a few steps away, takes you into Oxford Circus, (stops passed Liverpool St, Bank, St Pauls, Tottenham Crt Road.) PARKING I don't have a private car spot for you. There is a paid parking lot 1 minute away, but these are not usable on weekends due to the market. Most Parking is free on Saturdays and Sundays. There are free and paid spots around you just may need to search a little.13< 0.1%
 
The apartment is a 4-minute walk to Goodge Street Station (Northern Line) and 9 minutes to Tottenham Court Road (Central and Northern Lines) and 12 to Oxford Circus stations (Bakerloo, Central and Victoria Lines). It is the perfect location to enjoy London on foot! Here are different walking distances to famous places: Oxford Street (10min) Soho (10min) Regents Park (12min) Leicester Square (17min) British Museum (15min) Regent Street (15min) Covent Garden (20min) National Gallery (20min) Trafalgar Square (20min) Hyde Park (23min) Big Ben (30min) Buckingham Palace (35min) Westminster Abbey (35min) London Eye (40min) St Pauls Cathedral (43min) Tower of London (60min)13< 0.1%
 
Tower Hill Station for access to District and Circle Lines, is only 2 minutes away from the apartment, Aldgate Station in turn, 5 minutes away, has access the Circle Line but also to Hammersmith & City and Metropolitan ensuring you will be able to reach any location in London easily. Tower Gateway DLR is 5 minutes away, providing fast and direct access to Canary Wharf and East London. Aldgate is also a transport hub with several buses providing access to different areas of London and a more scenic way of travelling in London. Bus 25, for example, will take you to Tottenham Court Road and has a very convenient stop to visit the British Museum. At the end of the route, Oxford Circus, a shopper’s paradise, awaits you. Another great option, bus 205 will take you through Shoreditch, towards King’s Cross, with convenient stops to visit the British Library, through the trendy neighbourhoods of Fitzrovia and Marylebone, towards Regents Park for an afternoon enjoying nature at the London Zoo, 13< 0.1%
 
Other values (31073)3497963.3%
 
(Missing)1980735.8%
 
2022-08-08T15:46:29.844689image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28829 ?
Unique (%)81.3%
2022-08-08T15:46:29.899789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length133
Mean length208.0211273
Min length1

Overview of Unicode Properties

Unique unicode characters761
Unique unicode categories21 ?
Unique unicode scripts8 ?
Unique unicode blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
197344317.2%
 
e8572287.5%
 
t8323687.2%
 
n7864466.8%
 
a7567686.6%
 
o7255826.3%
 
i6195935.4%
 
r5911275.1%
 
s5516454.8%
 
l3457003.0%
 
u3101082.7%
 
d2951032.6%
 
h2908292.5%
 
c2107571.8%
 
m2043221.8%
 
y1590451.4%
 
w1459691.3%
 
g1351751.2%
 
b1295281.1%
 
f1195091.0%
 
p1120801.0%
 
k1111151.0%
 
.989390.9%
 
,783960.7%
 
v636620.6%
 
Other values (736)9958038.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter839823773.0%
 
Space Separator197376917.2%
 
Uppercase Letter5900235.1%
 
Other Punctuation2276882.0%
 
Decimal Number1970801.7%
 
Close Punctuation352590.3%
 
Open Punctuation352110.3%
 
Dash Punctuation318730.3%
 
Final Punctuation4417< 0.1%
 
Other Letter2267< 0.1%
 
Math Symbol1793< 0.1%
 
Currency Symbol1567< 0.1%
 
Control474< 0.1%
 
Other Symbol189< 0.1%
 
Initial Punctuation188< 0.1%
 
Connector Punctuation141< 0.1%
 
Modifier Symbol31< 0.1%
 
Other Number12< 0.1%
 
Format11< 0.1%
 
Nonspacing Mark6< 0.1%
 
Modifier Letter4< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S6150110.4%
 
L6114810.4%
 
C551389.3%
 
T537829.1%
 
B383536.5%
 
H303885.2%
 
P300715.1%
 
W272144.6%
 
A235254.0%
 
R226563.8%
 
E226253.8%
 
O222023.8%
 
N193043.3%
 
G180773.1%
 
M150392.5%
 
D143942.4%
 
I143942.4%
 
K128762.2%
 
V122052.1%
 
F102591.7%
 
U96911.6%
 
J63981.1%
 
Y46240.8%
 
Z20580.3%
 
Q17910.3%
 
Other values (11)3100.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e85722810.2%
 
t8323689.9%
 
n7864469.4%
 
a7567689.0%
 
o7255828.6%
 
i6195937.4%
 
r5911277.0%
 
s5516456.6%
 
l3457004.1%
 
u3101083.7%
 
d2951033.5%
 
h2908293.5%
 
c2107572.5%
 
m2043222.4%
 
y1590451.9%
 
w1459691.7%
 
g1351751.6%
 
b1295281.5%
 
f1195091.4%
 
p1120801.3%
 
k1111151.3%
 
v636620.8%
 
x216360.3%
 
j116300.1%
 
q76230.1%
 
Other values (56)3689< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1973443> 99.9%
 
 302< 0.1%
 
 17< 0.1%
 
 6< 0.1%
 
 1< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.9893943.5%
 
,7839634.4%
 
:140416.2%
 
'102204.5%
 
/82273.6%
 
&64902.9%
 
!44251.9%
 
*25411.1%
 
;18870.8%
 
•13090.6%
 
"6020.3%
 
#2400.1%
 
?1640.1%
 
@49< 0.1%
 
｡48< 0.1%
 
､29< 0.1%
 
…27< 0.1%
 
·15< 0.1%
 
\14< 0.1%
 
%14< 0.1%
 
‣11< 0.1%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£150896.2%
 
$402.6%
 
₤161.0%
 
€30.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
14322521.9%
 
03446317.5%
 
53212916.3%
 
23080715.6%
 
3175278.9%
 
4134206.8%
 
782374.2%
 
872383.7%
 
661753.1%
 
938592.0%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-3062696.1%
 
–11393.6%
 
—1080.3%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(3509199.7%
 
[1120.3%
 
{8< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)3512999.6%
 
]1120.3%
 
》12< 0.1%
 
}6< 0.1%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’433798.2%
 
”711.6%
 
»90.2%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
=67237.5%
 
>45025.1%
 
+39522.0%
 
~1538.5%
 
|703.9%
 
<442.5%
 
∙80.4%
 
±10.1%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
‘10555.9%
 
“7439.4%
 
«94.8%
 

Most frequent Control characters

ValueCountFrequency (%) 
45696.2%
 
’81.7%
 
‘20.4%
 
–20.4%
 
Ÿ20.4%
 
›20.4%
 
20.4%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
★7640.2%
 
°2814.8%
 
✔2312.2%
 
●2111.1%
 
☆168.5%
 
►52.6%
 
☞52.6%
 
▼31.6%
 
❤31.6%
 
☺21.1%
 
♪10.5%
 
▶10.5%
 
♀10.5%
 
✌10.5%
 
✅10.5%
 
⬇10.5%
 
™10.5%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
´2167.7%
 
`929.0%
 
^13.2%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️6100.0%
 

Most frequent Format characters

ValueCountFrequency (%) 
­436.4%
 
436.4%
 
‭19.1%
 
‬19.1%
 
‍19.1%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
站673.0%
 
分632.8%
 
到512.2%
 
钟492.2%
 
地472.1%
 
公421.9%
 
车421.9%
 
铁381.7%
 
行331.5%
 
伦311.4%
 
敦311.4%
 
的291.3%
 
步291.3%
 
里281.2%
 
约241.1%
 
可200.9%
 
以200.9%
 
路190.8%
 
交180.8%
 
中180.8%
 
有170.7%
 
便170.7%
 
机150.7%
 
场150.7%
 
达150.7%
 
Other values (516)148965.7%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_141100.0%
 

Most frequent Other Number characters

ValueCountFrequency (%) 
½758.3%
 
¼325.0%
 
¾216.7%
 

Most frequent Modifier Letter characters

ValueCountFrequency (%) 
ﾞ250.0%
 
ｰ250.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin898779578.2%
 
Common250970621.8%
 
Han1887< 0.1%
 
Cyrillic465< 0.1%
 
Hangul348< 0.1%
 
Hiragana21< 0.1%
 
Katakana11< 0.1%
 
Inherited7< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e8572289.5%
 
t8323689.3%
 
n7864468.8%
 
a7567688.4%
 
o7255828.1%
 
i6195936.9%
 
r5911276.6%
 
s5516456.1%
 
l3457003.8%
 
u3101083.5%
 
d2951033.3%
 
h2908293.2%
 
c2107572.3%
 
m2043222.3%
 
y1590451.8%
 
w1459691.6%
 
g1351751.5%
 
b1295281.4%
 
f1195091.3%
 
p1120801.2%
 
k1111151.2%
 
v636620.7%
 
S615010.7%
 
L611480.7%
 
C551380.6%
 
Other values (58)4563495.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
197344378.6%
 
.989393.9%
 
,783963.1%
 
1432251.7%
 
)351291.4%
 
(350911.4%
 
0344631.4%
 
5321291.3%
 
2308071.2%
 
-306261.2%
 
3175270.7%
 
:140410.6%
 
4134200.5%
 
'102200.4%
 
782370.3%
 
/82270.3%
 
872380.3%
 
&64900.3%
 
661750.2%
 
!44250.2%
 
’43370.2%
 
938590.2%
 
*25410.1%
 
;18870.1%
 
£15080.1%
 
Other values (76)73260.3%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️685.7%
 
‍114.3%
 

Most frequent Han characters

ValueCountFrequency (%) 
站673.6%
 
分633.3%
 
到512.7%
 
钟492.6%
 
地472.5%
 
公422.2%
 
车422.2%
 
铁382.0%
 
行331.7%
 
伦311.6%
 
敦311.6%
 
的291.5%
 
步291.5%
 
里281.5%
 
约241.3%
 
可201.1%
 
以201.1%
 
路191.0%
 
交181.0%
 
中181.0%
 
有170.9%
 
便170.9%
 
机150.8%
 
场150.8%
 
达150.8%
 
Other values (361)110958.8%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다133.7%
 
스123.4%
 
지123.4%
 
니113.2%
 
는113.2%
 
에102.9%
 
하102.9%
 
시92.6%
 
서92.6%
 
분92.6%
 
이72.0%
 
까72.0%
 
역72.0%
 
요61.7%
 
고61.7%
 
드51.4%
 
트51.4%
 
차51.4%
 
가41.1%
 
있41.1%
 
런41.1%
 
던41.1%
 
어41.1%
 
간41.1%
 
공41.1%
 
Other values (112)16647.7%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е15533.3%
 
а11224.1%
 
о326.9%
 
т183.9%
 
н183.9%
 
с173.7%
 
и153.2%
 
в112.4%
 
д91.9%
 
м91.9%
 
к91.9%
 
у91.9%
 
п81.7%
 
р71.5%
 
я40.9%
 
ш40.9%
 
б30.6%
 
л20.4%
 
г20.4%
 
ю20.4%
 
ц20.4%
 
ж20.4%
 
Л20.4%
 
ы20.4%
 
з20.4%
 
Other values (9)91.9%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
で838.1%
 
の29.5%
 
か29.5%
 
ら29.5%
 
ま29.5%
 
は29.5%
 
す29.5%
 
し14.8%
 

Most frequent Katakana characters

ValueCountFrequency (%) 
ｽ218.2%
 
ﾊ19.1%
 
ﾋ19.1%
 
ﾛ19.1%
 
ｶ19.1%
 
ﾄ19.1%
 
ｳ19.1%
 
ｨ19.1%
 
ｯ19.1%
 
ｸ19.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1148771299.9%
 
Punctuation72080.1%
 
None2406< 0.1%
 
CJK1887< 0.1%
 
Cyrillic465< 0.1%
 
Hangul348< 0.1%
 
Misc Symbols101< 0.1%
 
Geometric Shapes30< 0.1%
 
Dingbats28< 0.1%
 
Hiragana21< 0.1%
 
Currency Symbols19< 0.1%
 
Math Operators8< 0.1%
 
VS6< 0.1%
 
Letterlike Symbols1< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
197344317.2%
 
e8572287.5%
 
t8323687.2%
 
n7864466.8%
 
a7567686.6%
 
o7255826.3%
 
i6195935.4%
 
r5911275.1%
 
s5516454.8%
 
l3457003.0%
 
u3101082.7%
 
d2951032.6%
 
h2908292.5%
 
c2107571.8%
 
m2043221.8%
 
y1590451.4%
 
w1459691.3%
 
g1351751.2%
 
b1295281.1%
 
f1195091.0%
 
p1120801.0%
 
k1111151.0%
 
.989390.9%
 
,783960.7%
 
v636620.6%
 
Other values (71)9832758.6%
 

Most frequent None characters

ValueCountFrequency (%) 
£150862.7%
 
 30212.6%
 
é1285.3%
 
à923.8%
 
｡482.0%
 
è371.5%
 
､291.2%
 
°281.2%
 
´210.9%
 
í160.7%
 
·150.6%
 
ó130.5%
 
》120.5%
 
á120.5%
 
ã110.5%
 
ô100.4%
 
«90.4%
 
»90.4%
 
’80.3%
 
ê70.3%
 
Ü70.3%
 
½70.3%
 
ç50.2%
 
â40.2%
 
­40.2%
 
Other values (41)642.7%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’433760.2%
 
•130918.2%
 
–113915.8%
 
—1081.5%
 
‘1051.5%
 
“741.0%
 
”711.0%
 
…270.4%
 
 170.2%
 
‣110.2%
 
 60.1%
 
‭1< 0.1%
 
‬1< 0.1%
 
 1< 0.1%
 
‍1< 0.1%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
★7675.2%
 
☆1615.8%
 
☞55.0%
 
☺22.0%
 
♪11.0%
 
♀11.0%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
₤1684.2%
 
€315.8%
 

Most frequent Geometric Shapes characters

ValueCountFrequency (%) 
●2170.0%
 
►516.7%
 
▼310.0%
 
▶13.3%
 

Most frequent VS characters

ValueCountFrequency (%) 
️6100.0%
 

Most frequent CJK characters

ValueCountFrequency (%) 
站673.6%
 
分633.3%
 
到512.7%
 
钟492.6%
 
地472.5%
 
公422.2%
 
车422.2%
 
铁382.0%
 
行331.7%
 
伦311.6%
 
敦311.6%
 
的291.5%
 
步291.5%
 
里281.5%
 
约241.3%
 
可201.1%
 
以201.1%
 
路191.0%
 
交181.0%
 
中181.0%
 
有170.9%
 
便170.9%
 
机150.8%
 
场150.8%
 
达150.8%
 
Other values (361)110958.8%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다133.7%
 
스123.4%
 
지123.4%
 
니113.2%
 
는113.2%
 
에102.9%
 
하102.9%
 
시92.6%
 
서92.6%
 
분92.6%
 
이72.0%
 
까72.0%
 
역72.0%
 
요61.7%
 
고61.7%
 
드51.4%
 
트51.4%
 
차51.4%
 
가41.1%
 
있41.1%
 
런41.1%
 
던41.1%
 
어41.1%
 
간41.1%
 
공41.1%
 
Other values (112)16647.7%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е15533.3%
 
а11224.1%
 
о326.9%
 
т183.9%
 
н183.9%
 
с173.7%
 
и153.2%
 
в112.4%
 
д91.9%
 
м91.9%
 
к91.9%
 
у91.9%
 
п81.7%
 
р71.5%
 
я40.9%
 
ш40.9%
 
б30.6%
 
л20.4%
 
г20.4%
 
ю20.4%
 
ц20.4%
 
ж20.4%
 
Л20.4%
 
ы20.4%
 
з20.4%
 
Other values (9)91.9%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✔2382.1%
 
❤310.7%
 
✌13.6%
 
✅13.6%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
で838.1%
 
の29.5%
 
か29.5%
 
ら29.5%
 
ま29.5%
 
は29.5%
 
す29.5%
 
し14.8%
 

Most frequent Math Operators characters

ValueCountFrequency (%) 
∙8100.0%
 

Most frequent Letterlike Symbols characters

ValueCountFrequency (%) 
™1100.0%
 

house_rules
Categorical

HIGH CARDINALITY
MISSING

Distinct24790
Distinct (%)77.7%
Missing23378
Missing (%)42.3%
Memory size432.0 KiB
- The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties - Please note that the lead guest must be over 25 years old - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee - No pets, no parties or smoking, please
 
210
Rules: No Party Policy: There is a strict 21 and over policy. Guests under the age of 21 must be accompanied by a responsible adult. Please note that gatherings of persons over the number of registered guests are not allowed. Parties are not allowed in the apartments at any time and may result in the management requesting the offending party to vacate the premises without refund. Hen and stag parties are not permitted. Disposal of waste: Waste/ Garbage will need to be taken out when checking out, there will be a £20 charge if this is left behind. If you are unsure where to dispose of the waste, please refer to your booking confirmation email. Unauthorised use of additional items: Use of housekeeping equipment/ extra bedding left in the storing cupboard is forbidden, any additional use which has not been pre authorised will be charged for extra bedding use is charged at £10 per set per night. Fittings, Fixtures and Furnishing: All furnishing must be returned back to the correct
 
168
- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.
 
166
- No shoes in the house
 
162
No shoes in the house
 
132
Other values (24785)
31068 
ValueCountFrequency (%) 
- The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties - Please note that the lead guest must be over 25 years old - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee - No pets, no parties or smoking, please2100.4%
 
Rules: No Party Policy: There is a strict 21 and over policy. Guests under the age of 21 must be accompanied by a responsible adult. Please note that gatherings of persons over the number of registered guests are not allowed. Parties are not allowed in the apartments at any time and may result in the management requesting the offending party to vacate the premises without refund. Hen and stag parties are not permitted. Disposal of waste: Waste/ Garbage will need to be taken out when checking out, there will be a £20 charge if this is left behind. If you are unsure where to dispose of the waste, please refer to your booking confirmation email. Unauthorised use of additional items: Use of housekeeping equipment/ extra bedding left in the storing cupboard is forbidden, any additional use which has not been pre authorised will be charged for extra bedding use is charged at £10 per set per night. Fittings, Fixtures and Furnishing: All furnishing must be returned back to the correct 1680.3%
 
- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.1660.3%
 
- No shoes in the house1620.3%
 
No shoes in the house1320.2%
 
Please treat the home as you would your own. Please respect the neighbours, and do not make significant noise or play loud music after 10pm. No parties. If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.1320.2%
 
House Rules 1. Reservations require a $400 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr1260.2%
 
- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties. - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.1180.2%
 
House Rules: We have a no smoking and No party policy in all our properties. Please obey the rules! See below a list of fees: Smoking Fee - £100.00 Party Fee - up to £500.00 Lost key fee – £50.00 IMPORTANT! Please let us know if you arrive after midnight! LATE CHECK OUT is unfortunately not possible. If we find out you checked out later than 11am we will have to charge you: Late check out fee is £20.00/hr EARLY CHECK IN is unfortunately not possible. If we find out you checked in earlier than 4pm we will have to charge you: Early check in fee (for rooms) £10.00 Early check in fee (for flats) £30.00 Please make sure you are checked in to the correct room, otherwise a penalty of 15£ will be taken as our cleaners have to attend and clean the room again. Lost keys/ locking yourself out from the apartment: In case you lose the keys/ lock yourself out from the apartment and we will need to go and let you in, charges will apply. Prices: - Until 6pm: £ 20 - Until 9pm: £30 - 1040.2%
 
- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties. - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.950.2%
 
- Please treat the home as you would your own - Please respect the neighbours, and so not make significant noise or play loud music after 10pm - No parties - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, a £80 fee will apply930.2%
 
- Parties are strictly prohibited - Extra guests are not allowed - Respect for neighbours is highly appreciated. Keep the noise down, especially after 10pm. - Please use indoor shoes/slippers, if possible - This is your home in London, please care for it as such - Please make sure to lock the door and all the windows when leaving the property850.2%
 
- No pets, no parties or smoking, please. - The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties. - Please note that the lead guest must be over 25 years old. ID will be required at check-in. - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee.780.1%
 
We offer flexible check-in & check-out times, however where we have guests coming or leaving the same day we may apply check-in times after 14:00 and check-out times before 11:00. Late check-in needs to be pre-arranged and confirmed with us at least 3 days before arrival and they are subject to the following charges for arrival between these times: From 19:00 to 22:00 - £40 From 22:00 to 00:00 - £65 From 00:00 to 7:00 - £100 *These prices may differ during public holidays (e.g. Christmas Day the charge will be £100 and checkin has to be before 18:00 latest) These fees need to be paid in advance and cannot be paid at the property. If your arrival time is delayed beyond 1 hour then please let us know and we will do our best to accommodate the delay however we may need to re-arrange the check-in time or for you to collect the keys from us if we have other pre-arranged commitments. If you stay beyond your agreed check-out time you will be liable to pay for an extra night at your average ni620.1%
 
Strictly No pets Allowed Strictly No smoking, No parties, and NO events Check-in time is 3PM - 10PM and check out out by 10AM (After 10pm possible but there will be additional charges for late check-in) (Early check in and late check out are allowed for a fee and depending on availability of the listing) The lead guest that makes the reservation will be asked to provide a form of government approved identification after the booking is confirmed. This ID needs to be present on check in. Silent hours between 10pm and 8am (please keep standard noise level without disturbing any residents/neighbours) Only Portable Airconditioning Available for a fee 65 GBP per week plus 30 GBP delivery fee. No smoking allowed / permitted within the apartment/building - 500 GBP penalty Lost Keys: £350 to change the locks on the apartment Number of occupiers must match numbers of guests on booking confirmation No illegal activities, illegal substances or any signs of illegal substances within the property Ex620.1%
 
Guests must show ID upon check-in580.1%
 
- Please note that guests must provide a copy of their passports by email, prior to arrival. The property may also require proof of address - The standard check-in time is from 15:00 until 19:00, and needs to be agreed prior to arrival. Later arrivals are possible at the following charges: After 19:00 GBP 30; After 22:00 GBP 80 - Guests are required to show a photo identification and credit card upon check-in - Guest must inform us of their arrival time in advance - We require a refundable damage deposit of £250 prior to arrival. - All children under 2 years old must be accommodated in a baby cot, subject to availability, one off extra charge £75+VAT applicable - All children over 2 years old must be accommodated in the existing beds without exceeding the maximum capacity of the apartment, as children count towards the maximum occupancy listed - We do not have capacity for extra beds and the sofa cannot be used to sleep in - Full terms and conditions to be shared prior to arrival530.1%
 
ID check required Late check in from 20:00 to 23:00 with an extra charge of £ 30 Codes will be given upon check in day530.1%
 
1. We have a strict NO PARTY rule, if you have booked for a hen's, stag or birthday, you need to do all the celebrating outside the apartment. We will know if you are having a party and you will be instantly asked to leave. We will retain all the deposit if you have not been truthful about the purpose of your stay. 2. No more than the 4 people to reside 3. No more than 4 people to be in the apartment at one time 4. No Illicit drug use on the premises 5. People seen to be uncontrollably intoxicated may be asked to leave. 6. All breakages will be noted and may be withdrawn from your deposit. 7. Please do not give out our address to others. 8. Please do not get any mail sent to this address. 9. Please be considerate with our towels, linen and sofa. If you mark these with make-up, food or drinks, please endeavour to remove it when it occurs, as replacing these items drives up the cost of our service. 10. If a guest reduces the number of nights on the reservation; we consider it a cancellat480.1%
 
If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply. Please treat the home as you would your own. Please respect the neighbours, and do not make significant noise or play loud music after 10pm. No parties.470.1%
 
Only guests that have booked via Airbnb and whose names are specified clearly before checkin are allowed in the flat at any time. No other person is allowed at any time. Kindly also make sure to have a clear profile picture of yourself, as per Airbnb rules. - We reserve the right to ask all guests about their full names, date of birth, nationality, email and phone numbers, social media profiles ( (Hidden by Airbnb) or linkedin) for verification and insurance purposes after booking and before arrival, and also ask for passport or national ID upon arrival - No smoking, no vaping, and no drugs whatsoever - No parties or loud music at all. this is a residential block with other residents - Kindly take off your shoes every time you enter the flat. - Please leave the flat in the same condition you found it - please wipe surfaces in kitchen and bathroom and put all litter in the trash bin - The person who booked the place needs to be present at checkin. If you are booking on someone else's be460.1%
 
No smoking. Pets not allowed.460.1%
 
Please treat the home as you would your own. Please respect the neighbours and do not make significant noise or play loud music after 10pm. No parties. We’ve provided you with fresh towels and linen. Towels can be found in the bathroom or on the bed. Please don’t take extra towels or sheets from the cupboards. Broken something? Please let us know what needs to be replaced or fixed so the next guests have a nice experience too. Please remember checkout time is strictly 10am. A late checkout will result in a £50 fee as this delays our cleaning team. If guests lock themselves out of the property OR they do not return the keys to the location where they collected them from initially at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.430.1%
 
- No pets, no parties or smoking, please. - The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties. - Please note that the lead guest must be over 25 years old. ID will be required at check-in. – - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee.420.1%
 
Important Information and Policies - Minimum Stay is 5-6 nights, with shorter stays accepted IF the booking fits our calendar. Please send in inquiry first to avoid disappointment. - Check-in starts from 3:00PM. Late check-in fees apply after 7:00PM (see below). - Checkout is by 10:00AM. - Smoking. All of our apartments are strictly non-smoking. - Pets. Unfortunately furry friends are not allowed in any of our homes. - Parties, Events, Photoshoots. The apartment is NOT suitable for parties, specials dinners, photoshoots or other events and the maximum number of guests should not exceed the maximum number of people allowed. Regarding a late check-in (after 7:00PM) Please remember that you are booking an apartment, not a hotel room. We try to be as accommodating as possible. However, in the instance that you arrive between 7:00PM and 9:00PM there will be a 30 £ late check-in fee, if you arrive even later, between 9:00PM and 11:00PM the check-in fee will be 50 £. Between 11:00PM and 1:00A370.1%
 
Other values (24765)2964053.6%
 
(Missing)2337842.3%
 
2022-08-08T15:46:29.988081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23043 ?
Unique (%)72.2%
2022-08-08T15:46:30.040584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1000
Median length35
Mean length159.8686057
Min length1

Overview of Unicode Properties

Unique unicode characters717
Unique unicode categories19 ?
Unique unicode scripts7 ?
Unique unicode blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
161251718.2%
 
e88717410.0%
 
o5723826.5%
 
t5475086.2%
 
a5212365.9%
 
n4601925.2%
 
s4476845.1%
 
i4164484.7%
 
r3927184.4%
 
l2995573.4%
 
h2747143.1%
 
u2361932.7%
 
d2167152.5%
 
c1805552.0%
 
p1677991.9%
 
m1569361.8%
 
y1486401.7%
 
f1410161.6%
 
g1273301.4%
 
b1021191.2%
 
w987501.1%
 
.932981.1%
 
k905031.0%
 
v607990.7%
 
-579280.7%
 
Other values (692)5274656.0%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter657374974.4%
 
Space Separator161314018.3%
 
Uppercase Letter2773623.1%
 
Other Punctuation1755272.0%
 
Decimal Number1055551.2%
 
Dash Punctuation585750.7%
 
Currency Symbol111280.1%
 
Close Punctuation96380.1%
 
Open Punctuation77260.1%
 
Other Letter1969< 0.1%
 
Final Punctuation1699< 0.1%
 
Control838< 0.1%
 
Math Symbol695< 0.1%
 
Initial Punctuation150< 0.1%
 
Connector Punctuation142< 0.1%
 
Other Symbol109< 0.1%
 
Nonspacing Mark86< 0.1%
 
Modifier Symbol59< 0.1%
 
Format29< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e88717413.5%
 
o5723828.7%
 
t5475088.3%
 
a5212367.9%
 
n4601927.0%
 
s4476846.8%
 
i4164486.3%
 
r3927186.0%
 
l2995574.6%
 
h2747144.2%
 
u2361933.6%
 
d2167153.3%
 
c1805552.7%
 
p1677992.6%
 
m1569362.4%
 
y1486402.3%
 
f1410162.1%
 
g1273301.9%
 
b1021191.6%
 
w987501.5%
 
k905031.4%
 
v607990.9%
 
x130210.2%
 
q81420.1%
 
j40010.1%
 
Other values (42)1617< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1612517> 99.9%
 
 623< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N3356812.1%
 
P3144711.3%
 
I251709.1%
 
T233388.4%
 
A183676.6%
 
S153195.5%
 
E147075.3%
 
O145315.2%
 
R110314.0%
 
C108783.9%
 
W93513.4%
 
L91873.3%
 
G82733.0%
 
M79452.9%
 
D70602.5%
 
H62162.2%
 
F56212.0%
 
B55072.0%
 
Y52691.9%
 
U49041.8%
 
K45451.6%
 
Q26200.9%
 
V17880.6%
 
J4770.2%
 
X1770.1%
 
Other values (6)66< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.9329853.2%
 
,4060023.1%
 
:137377.8%
 
/63133.6%
 
'59533.4%
 
!55403.2%
 
•29591.7%
 
*29091.7%
 
;15850.9%
 
&15760.9%
 
%3960.2%
 
"3160.2%
 
?1620.1%
 
…85< 0.1%
 
#50< 0.1%
 
｡18< 0.1%
 
·11< 0.1%
 
･8< 0.1%
 
@6< 0.1%
 
\2< 0.1%
 
､2< 0.1%
 
¡1< 0.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-5792898.9%
 
–5971.0%
 
—500.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
03944337.4%
 
12441623.1%
 
21103810.5%
 
574617.1%
 
369376.6%
 
845984.4%
 
434153.2%
 
934033.2%
 
725152.4%
 
623292.2%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
£1074696.6%
 
$3212.9%
 
€600.5%
 
¤1< 0.1%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(771199.8%
 
[140.2%
 
{1< 0.1%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)956699.3%
 
}570.6%
 
]150.2%
 

Most frequent Initial Punctuation characters

ValueCountFrequency (%) 
“10972.7%
 
‘3926.0%
 
«21.3%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’160394.3%
 
”945.5%
 
»20.1%
 

Most frequent Modifier Symbol characters

ValueCountFrequency (%) 
¨2440.7%
 
´1423.7%
 
`1220.3%
 
^915.3%
 

Most frequent Other Letter characters

ValueCountFrequency (%) 
的542.7%
 
用321.6%
 
房301.5%
 
請271.4%
 
要271.4%
 
清251.3%
 
不211.1%
 
有201.0%
 
在201.0%
 
把191.0%
 
我191.0%
 
潔180.9%
 
們180.9%
 
鞋180.9%
 
다170.9%
 
公160.8%
 
入150.8%
 
如150.8%
 
니150.8%
 
间150.8%
 
시150.8%
 
寓140.7%
 
使140.7%
 
乾140.7%
 
外140.7%
 
Other values (507)145774.0%
 

Most frequent Control characters

ValueCountFrequency (%) 
83299.3%
 
60.7%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
+33347.9%
 
=24435.1%
 
>588.3%
 
~334.7%
 
|142.0%
 
<91.3%
 
⦁30.4%
 
×10.1%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_142100.0%
 

Most frequent Other Symbol characters

ValueCountFrequency (%) 
⚫4036.7%
 
★1816.5%
 
⚠1110.1%
 
☺98.3%
 
✓87.3%
 
￮76.4%
 
✅43.7%
 
✨43.7%
 
❤43.7%
 
⛔21.8%
 
⭐10.9%
 
♣10.9%
 

Most frequent Nonspacing Mark characters

ValueCountFrequency (%) 
️6170.9%
 
̵2529.1%
 

Most frequent Format characters

ValueCountFrequency (%) 
1448.3%
 
‭620.7%
 
‬517.2%
 
‍310.3%
 
‪13.4%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin685076277.5%
 
Common198500722.5%
 
Han1460< 0.1%
 
Hangul495< 0.1%
 
Cyrillic350< 0.1%
 
Inherited89< 0.1%
 
Hiragana13< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e88717413.0%
 
o5723828.4%
 
t5475088.0%
 
a5212367.6%
 
n4601926.7%
 
s4476846.5%
 
i4164486.1%
 
r3927185.7%
 
l2995574.4%
 
h2747144.0%
 
u2361933.4%
 
d2167153.2%
 
c1805552.6%
 
p1677992.4%
 
m1569362.3%
 
y1486402.2%
 
f1410162.1%
 
g1273301.9%
 
b1021191.5%
 
w987501.4%
 
k905031.3%
 
v607990.9%
 
N335680.5%
 
P314470.5%
 
I251700.4%
 
Other values (49)2136093.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
161251781.2%
 
.932984.7%
 
-579282.9%
 
,406002.0%
 
0394432.0%
 
1244161.2%
 
:137370.7%
 
2110380.6%
 
£107460.5%
 
)95660.5%
 
(77110.4%
 
574610.4%
 
369370.3%
 
/63130.3%
 
'59530.3%
 
!55400.3%
 
845980.2%
 
434150.2%
 
934030.2%
 
•29590.1%
 
*29090.1%
 
725150.1%
 
623290.1%
 
’16030.1%
 
;15850.1%
 
Other values (59)64870.3%
 

Most frequent Han characters

ValueCountFrequency (%) 
的543.7%
 
用322.2%
 
房302.1%
 
請271.8%
 
要271.8%
 
清251.7%
 
不211.4%
 
有201.4%
 
在201.4%
 
把191.3%
 
我191.3%
 
潔181.2%
 
們181.2%
 
鞋181.2%
 
公161.1%
 
入151.0%
 
如151.0%
 
间151.0%
 
寓141.0%
 
使141.0%
 
乾141.0%
 
外141.0%
 
请141.0%
 
需141.0%
 
您130.9%
 
Other values (321)95465.3%
 

Most frequent Inherited characters

ValueCountFrequency (%) 
️6168.5%
 
̵2528.1%
 
‍33.4%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е18452.6%
 
а10429.7%
 
о82.3%
 
м51.4%
 
с51.4%
 
и51.4%
 
в51.4%
 
у41.1%
 
р41.1%
 
т41.1%
 
б30.9%
 
д30.9%
 
А30.9%
 
п20.6%
 
М10.3%
 
ы10.3%
 
з10.3%
 
й10.3%
 
н10.3%
 
ь10.3%
 
х10.3%
 
Т10.3%
 
я10.3%
 
ч10.3%
 
к10.3%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다173.4%
 
니153.0%
 
시153.0%
 
에142.8%
 
용112.2%
 
이112.2%
 
하102.0%
 
가102.0%
 
습102.0%
 
는91.8%
 
을91.8%
 
은91.8%
 
지91.8%
 
수91.8%
 
신81.6%
 
주81.6%
 
사71.4%
 
오71.4%
 
발61.2%
 
공61.2%
 
간61.2%
 
후61.2%
 
해61.2%
 
있61.2%
 
세51.0%
 
Other values (151)26653.7%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
は215.4%
 
か215.4%
 
に215.4%
 
す215.4%
 
お17.7%
 
い17.7%
 
し17.7%
 
ま17.7%
 
る17.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII881833199.8%
 
None117290.1%
 
Punctuation55510.1%
 
CJK1460< 0.1%
 
Hangul495< 0.1%
 
Cyrillic350< 0.1%
 
Misc Symbols81< 0.1%
 
VS61< 0.1%
 
Currency Symbols60< 0.1%
 
Diacriticals25< 0.1%
 
Dingbats20< 0.1%
 
Hiragana13< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
161251718.3%
 
e88717410.1%
 
o5723826.5%
 
t5475086.2%
 
a5212365.9%
 
n4601925.2%
 
s4476845.1%
 
i4164484.7%
 
r3927184.5%
 
l2995573.4%
 
h2747143.1%
 
u2361932.7%
 
d2167152.5%
 
c1805552.0%
 
p1677991.9%
 
m1569361.8%
 
y1486401.7%
 
f1410161.6%
 
g1273301.4%
 
b1021191.2%
 
w987501.1%
 
.932981.1%
 
k905031.0%
 
v607990.7%
 
-579280.7%
 
Other values (72)5076205.8%
 

Most frequent None characters

ValueCountFrequency (%) 
£1074691.6%
 
 6235.3%
 
é1151.0%
 
à320.3%
 
è250.2%
 
¨240.2%
 
ı190.2%
 
｡180.2%
 
140.1%
 
ä140.1%
 
´140.1%
 
·110.1%
 
ê100.1%
 
･80.1%
 
￮70.1%
 
á60.1%
 
ó60.1%
 
ñ4< 0.1%
 
í3< 0.1%
 
⦁3< 0.1%
 
Ž3< 0.1%
 
â3< 0.1%
 
ô2< 0.1%
 
«2< 0.1%
 
»2< 0.1%
 
Other values (14)150.1%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
•295953.3%
 
’160328.9%
 
–59710.8%
 
“1092.0%
 
”941.7%
 
…851.5%
 
—500.9%
 
‘390.7%
 
‭60.1%
 
‬50.1%
 
‍30.1%
 
‪1< 0.1%
 

Most frequent CJK characters

ValueCountFrequency (%) 
的543.7%
 
用322.2%
 
房302.1%
 
請271.8%
 
要271.8%
 
清251.7%
 
不211.4%
 
有201.4%
 
在201.4%
 
把191.3%
 
我191.3%
 
潔181.2%
 
們181.2%
 
鞋181.2%
 
公161.1%
 
入151.0%
 
如151.0%
 
间151.0%
 
寓141.0%
 
使141.0%
 
乾141.0%
 
外141.0%
 
请141.0%
 
需141.0%
 
您130.9%
 
Other values (321)95465.3%
 

Most frequent Misc Symbols characters

ValueCountFrequency (%) 
⚫4049.4%
 
★1822.2%
 
⚠1113.6%
 
☺911.1%
 
⛔22.5%
 
♣11.2%
 

Most frequent VS characters

ValueCountFrequency (%) 
️61100.0%
 

Most frequent Currency Symbols characters

ValueCountFrequency (%) 
€60100.0%
 

Most frequent Dingbats characters

ValueCountFrequency (%) 
✓840.0%
 
✅420.0%
 
✨420.0%
 
❤420.0%
 

Most frequent Cyrillic characters

ValueCountFrequency (%) 
е18452.6%
 
а10429.7%
 
о82.3%
 
м51.4%
 
с51.4%
 
и51.4%
 
в51.4%
 
у41.1%
 
р41.1%
 
т41.1%
 
б30.9%
 
д30.9%
 
А30.9%
 
п20.6%
 
М10.3%
 
ы10.3%
 
з10.3%
 
й10.3%
 
н10.3%
 
ь10.3%
 
х10.3%
 
Т10.3%
 
я10.3%
 
ч10.3%
 
к10.3%
 

Most frequent Hangul characters

ValueCountFrequency (%) 
다173.4%
 
니153.0%
 
시153.0%
 
에142.8%
 
용112.2%
 
이112.2%
 
하102.0%
 
가102.0%
 
습102.0%
 
는91.8%
 
을91.8%
 
은91.8%
 
지91.8%
 
수91.8%
 
신81.6%
 
주81.6%
 
사71.4%
 
오71.4%
 
발61.2%
 
공61.2%
 
간61.2%
 
후61.2%
 
해61.2%
 
있61.2%
 
세51.0%
 
Other values (151)26653.7%
 

Most frequent Diacriticals characters

ValueCountFrequency (%) 
̵25100.0%
 

Most frequent Hiragana characters

ValueCountFrequency (%) 
は215.4%
 
か215.4%
 
に215.4%
 
す215.4%
 
お17.7%
 
い17.7%
 
し17.7%
 
ま17.7%
 
る17.7%
 

picture_url
URL

Distinct54423
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
https://a0.muscache.com/im/pictures/d029c664-c280-4eec-ad56-8ceca3b3d1cc.jpg?aki_policy=large
 
7
https://a0.muscache.com/im/pictures/a9390b68-2217-4c9b-8365-26bd5fd8b573.jpg?aki_policy=large
 
6
https://a0.muscache.com/im/pictures/96d7a914-0f6b-4195-9097-3f62a19ca7dd.jpg?aki_policy=large
 
6
https://a0.muscache.com/im/pictures/65ac2eba-1776-476c-a4b4-fa2c8cad80f7.jpg?aki_policy=large
 
5
https://a0.muscache.com/im/pictures/eb043344-c691-45cd-b9ad-255e6c0f9058.jpg?aki_policy=large
 
5
Other values (54418)
55255 
ValueCountFrequency (%) 
https://a0.muscache.com/im/pictures/d029c664-c280-4eec-ad56-8ceca3b3d1cc.jpg?aki_policy=large7< 0.1%
 
https://a0.muscache.com/im/pictures/a9390b68-2217-4c9b-8365-26bd5fd8b573.jpg?aki_policy=large6< 0.1%
 
https://a0.muscache.com/im/pictures/96d7a914-0f6b-4195-9097-3f62a19ca7dd.jpg?aki_policy=large6< 0.1%
 
https://a0.muscache.com/im/pictures/65ac2eba-1776-476c-a4b4-fa2c8cad80f7.jpg?aki_policy=large5< 0.1%
 
https://a0.muscache.com/im/pictures/eb043344-c691-45cd-b9ad-255e6c0f9058.jpg?aki_policy=large5< 0.1%
 
https://a0.muscache.com/im/pictures/3ba77e3e-5915-4241-965e-c8b370ece002.jpg?aki_policy=large5< 0.1%
 
https://a0.muscache.com/im/pictures/3a5e9891-40a4-4cfa-bd99-2136af2c9be4.jpg?aki_policy=large5< 0.1%
 
https://a0.muscache.com/im/pictures/fe162844-3bf8-44ad-8f51-ca4b3a358953.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/e0007028-cf8c-4632-a8f7-67259f6c7a7b.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/f2dac3a8-5884-4a72-9a6b-22691b68086d.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/be34cc4a-044f-44bf-9f76-1122d7558ec6.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/c6a5c7c0-d8cc-4c77-bc67-ee55967f6947.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/1a571605-331f-411f-aab2-ac5481e21590.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/8dab5ed5-bee0-4690-ab4a-4308d92b0271.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/9b2b7153-03c4-4b55-8037-b1e6414d8827.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/31a75a45-9401-4180-94b7-858f2ff8e1a9.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/b1227896-e00c-4c53-8329-00f0602e401c.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/d908f02c-0d18-44fb-b2aa-d4984c825775.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/1e05abce-ebff-4d9c-bbb9-4902c900bf26.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/7abcc13c-7cab-4d80-8352-0f777ac672d3.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/92c68147-e0ca-45a9-b7ff-4bd3d9a6f00a.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/a1951228-7a79-4d3b-94d3-a5e5e9770929.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/35ed1cec-008c-40f2-a985-b9e398704074.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/6add66f2-969a-46e6-a453-3891c62ba587.jpg?aki_policy=large4< 0.1%
 
https://a0.muscache.com/im/pictures/66111283-f8e6-4850-b99a-6cca84a7e9dd.jpg?aki_policy=large3< 0.1%
 
Other values (54398)5517499.8%
 
ValueCountFrequency (%) 
https55284100.0%
 
ValueCountFrequency (%) 
a0.muscache.com55284100.0%
 
ValueCountFrequency (%) 
/im/pictures/d029c664-c280-4eec-ad56-8ceca3b3d1cc.jpg7< 0.1%
 
/im/pictures/a9390b68-2217-4c9b-8365-26bd5fd8b573.jpg6< 0.1%
 
/im/pictures/96d7a914-0f6b-4195-9097-3f62a19ca7dd.jpg6< 0.1%
 
/im/pictures/65ac2eba-1776-476c-a4b4-fa2c8cad80f7.jpg5< 0.1%
 
/im/pictures/eb043344-c691-45cd-b9ad-255e6c0f9058.jpg5< 0.1%
 
/im/pictures/3ba77e3e-5915-4241-965e-c8b370ece002.jpg5< 0.1%
 
/im/pictures/3a5e9891-40a4-4cfa-bd99-2136af2c9be4.jpg5< 0.1%
 
/im/pictures/fe162844-3bf8-44ad-8f51-ca4b3a358953.jpg4< 0.1%
 
/im/pictures/e0007028-cf8c-4632-a8f7-67259f6c7a7b.jpg4< 0.1%
 
/im/pictures/f2dac3a8-5884-4a72-9a6b-22691b68086d.jpg4< 0.1%
 
/im/pictures/be34cc4a-044f-44bf-9f76-1122d7558ec6.jpg4< 0.1%
 
/im/pictures/c6a5c7c0-d8cc-4c77-bc67-ee55967f6947.jpg4< 0.1%
 
/im/pictures/1a571605-331f-411f-aab2-ac5481e21590.jpg4< 0.1%
 
/im/pictures/8dab5ed5-bee0-4690-ab4a-4308d92b0271.jpg4< 0.1%
 
/im/pictures/9b2b7153-03c4-4b55-8037-b1e6414d8827.jpg4< 0.1%
 
/im/pictures/31a75a45-9401-4180-94b7-858f2ff8e1a9.jpg4< 0.1%
 
/im/pictures/b1227896-e00c-4c53-8329-00f0602e401c.jpg4< 0.1%
 
/im/pictures/d908f02c-0d18-44fb-b2aa-d4984c825775.jpg4< 0.1%
 
/im/pictures/1e05abce-ebff-4d9c-bbb9-4902c900bf26.jpg4< 0.1%
 
/im/pictures/7abcc13c-7cab-4d80-8352-0f777ac672d3.jpg4< 0.1%
 
/im/pictures/92c68147-e0ca-45a9-b7ff-4bd3d9a6f00a.jpg4< 0.1%
 
/im/pictures/a1951228-7a79-4d3b-94d3-a5e5e9770929.jpg4< 0.1%
 
/im/pictures/35ed1cec-008c-40f2-a985-b9e398704074.jpg4< 0.1%
 
/im/pictures/6add66f2-969a-46e6-a453-3891c62ba587.jpg4< 0.1%
 
/im/pictures/66111283-f8e6-4850-b99a-6cca84a7e9dd.jpg3< 0.1%
 
Other values (54398)5517499.8%
 
ValueCountFrequency (%) 
aki_policy=large5497799.4%
 
t=r:w1200-h720-sfit,e:fjpg-c853070.6%
 
ValueCountFrequency (%) 
55284100.0%
 

host_id
Real number (ℝ≥0)

Distinct37846
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88179983.82
Minimum2697
Maximum325671864
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:30.173065image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2697
5-th percentile1895116.85
Q115263969.25
median48165024
Q3144904986.8
95-th percentile276379077.9
Maximum325671864
Range325669167
Interquartile range (IQR)129641017.5

Descriptive statistics

Standard deviation90132242.41
Coefficient of variation (CV)1.022139476
Kurtosis-0.2236533289
Mean88179983.82
Median Absolute Deviation (MAD)42723863
Skewness0.995192022
Sum4.874942225e+12
Variance8.123821123e+15
MonotocityNot monotonic
2022-08-08T15:46:30.222968image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
338892013920.7%
 
288203211630.3%
 
135573371390.3%
 
1370943771350.2%
 
481650241320.2%
 
14324771100.2%
 
275726151030.2%
 
224866971940.2%
 
50291093730.1%
 
10961046680.1%
 
136223256620.1%
 
135969957600.1%
 
58828772590.1%
 
156187808580.1%
 
148075562540.1%
 
269240750540.1%
 
2125620540.1%
 
1251704530.1%
 
83740964510.1%
 
111291126500.1%
 
176910904470.1%
 
21867370460.1%
 
105564995460.1%
 
1425784460.1%
 
988379450.1%
 
Other values (37821)5309096.0%
 
ValueCountFrequency (%) 
26971< 0.1%
 
47756< 0.1%
 
56531< 0.1%
 
67743< 0.1%
 
93232< 0.1%
 
98701< 0.1%
 
106571< 0.1%
 
109531< 0.1%
 
114312< 0.1%
 
121451< 0.1%
 
ValueCountFrequency (%) 
3256718641< 0.1%
 
3256147551< 0.1%
 
3255927141< 0.1%
 
3255909041< 0.1%
 
3255769261< 0.1%
 
3255644191< 0.1%
 
3255615161< 0.1%
 
3255373762< 0.1%
 
3255330671< 0.1%
 
3255321691< 0.1%
 

host_since
Categorical

HIGH CARDINALITY

Distinct3446
Distinct (%)6.2%
Missing111
Missing (%)0.2%
Memory size432.0 KiB
2015-05-21
 
413
2015-03-05
 
187
2015-11-04
 
172
2014-03-26
 
158
2017-06-26
 
150
Other values (3441)
54093 
ValueCountFrequency (%) 
2015-05-214130.7%
 
2015-03-051870.3%
 
2015-11-041720.3%
 
2014-03-261580.3%
 
2017-06-261500.3%
 
2015-02-111210.2%
 
2011-11-221120.2%
 
2012-03-181090.2%
 
2018-11-081070.2%
 
2016-02-15990.2%
 
2015-06-09990.2%
 
2015-12-01980.2%
 
2017-10-25950.2%
 
2017-08-07920.2%
 
2018-07-18840.2%
 
2019-06-17820.1%
 
2012-04-12790.1%
 
2017-06-20780.1%
 
2014-01-02780.1%
 
2016-02-09760.1%
 
2017-06-21740.1%
 
2017-08-28670.1%
 
2014-09-28650.1%
 
2014-11-02650.1%
 
2015-06-18640.1%
 
Other values (3421)5234994.7%
 
(Missing)1110.2%
 
2022-08-08T15:46:30.279599image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique177 ?
Unique (%)0.3%
2022-08-08T15:46:30.318892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length9.985945301
Min length3

Overview of Unicode Properties

Unique unicode characters13
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
012493022.6%
 
-11034620.0%
 
110241218.6%
 
29025716.3%
 
5207373.8%
 
6190373.4%
 
4176033.2%
 
7174403.2%
 
3174173.2%
 
8163263.0%
 
9152252.8%
 
n222< 0.1%
 
a111< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number44138480.0%
 
Dash Punctuation11034620.0%
 
Lowercase Letter3330.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
012493028.3%
 
110241223.2%
 
29025720.4%
 
5207374.7%
 
6190374.3%
 
4176034.0%
 
7174404.0%
 
3174173.9%
 
8163263.7%
 
9152253.4%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-110346100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n22266.7%
 
a11133.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Common55173099.9%
 
Latin3330.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
012493022.6%
 
-11034620.0%
 
110241218.6%
 
29025716.4%
 
5207373.8%
 
6190373.5%
 
4176033.2%
 
7174403.2%
 
3174173.2%
 
8163263.0%
 
9152252.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n22266.7%
 
a11133.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII552063100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
012493022.6%
 
-11034620.0%
 
110241218.6%
 
29025716.3%
 
5207373.8%
 
6190373.4%
 
4176033.2%
 
7174403.2%
 
3174173.2%
 
8163263.0%
 
9152252.8%
 
n222< 0.1%
 
a111< 0.1%
 

host_response_time
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing17802
Missing (%)32.2%
Memory size432.0 KiB
within an hour
23982 
within a few hours
7105 
within a day
5274 
a few days or more
 
1121
ValueCountFrequency (%) 
within an hour2398243.4%
 
within a few hours710512.9%
 
within a day52749.5%
 
a few days or more11212.0%
 
(Missing)1780232.2%
 
2022-08-08T15:46:30.355162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:30.379675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:30.409918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length18
Median length14
Mean length10.8622748
Min length3

Overview of Unicode Properties

Unique unicode characters16
Unique unicode categories2 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n9594716.0%
 
8431114.0%
 
i7272212.1%
 
h6744811.2%
 
a6167910.3%
 
w445877.4%
 
t363616.1%
 
o333295.6%
 
r333295.6%
 
u310875.2%
 
e93471.6%
 
f82261.4%
 
s82261.4%
 
d63951.1%
 
y63951.1%
 
m11210.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter51619986.0%
 
Space Separator8431114.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n9594718.6%
 
i7272214.1%
 
h6744813.1%
 
a6167911.9%
 
w445878.6%
 
t363617.0%
 
o333296.5%
 
r333296.5%
 
u310876.0%
 
e93471.8%
 
f82261.6%
 
s82261.6%
 
d63951.2%
 
y63951.2%
 
m11210.2%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
84311100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin51619986.0%
 
Common8431114.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n9594718.6%
 
i7272214.1%
 
h6744813.1%
 
a6167911.9%
 
w445878.6%
 
t363617.0%
 
o333296.5%
 
r333296.5%
 
u310876.0%
 
e93471.8%
 
f82261.6%
 
s82261.6%
 
d63951.2%
 
y63951.2%
 
m11210.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
84311100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII600510100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n9594716.0%
 
8431114.0%
 
i7272212.1%
 
h6744811.2%
 
a6167910.3%
 
w445877.4%
 
t363616.1%
 
o333295.6%
 
r333295.6%
 
u310875.2%
 
e93471.6%
 
f82261.4%
 
s82261.4%
 
d63951.1%
 
y63951.1%
 
m11210.2%
 

host_response_rate
Categorical

HIGH CARDINALITY
MISSING

Distinct69
Distinct (%)0.2%
Missing17802
Missing (%)32.2%
Memory size432.0 KiB
100%
25860 
90%
 
1439
98%
 
1015
97%
 
957
99%
 
747
Other values (64)
7464 
ValueCountFrequency (%) 
100%2586046.8%
 
90%14392.6%
 
98%10151.8%
 
97%9571.7%
 
99%7471.4%
 
80%7421.3%
 
0%6831.2%
 
50%5271.0%
 
67%4210.8%
 
70%3810.7%
 
93%3460.6%
 
75%3180.6%
 
88%3030.5%
 
95%2840.5%
 
94%2770.5%
 
91%2760.5%
 
96%2740.5%
 
83%2510.5%
 
89%2300.4%
 
85%2140.4%
 
92%2130.4%
 
60%2050.4%
 
86%2040.4%
 
82%1390.3%
 
87%1160.2%
 
Other values (44)10601.9%
 
(Missing)1780232.2%
 
2022-08-08T15:46:30.460200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%
2022-08-08T15:46:30.505564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length3
Mean length3.455412054
Min length2

Overview of Unicode Properties

Unique unicode characters13
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
05586329.2%
 
%3748219.6%
 
n3560418.6%
 
12632713.8%
 
a178029.3%
 
969193.6%
 
837632.0%
 
725751.3%
 
514870.8%
 
612410.6%
 
39280.5%
 
45480.3%
 
24900.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number10014152.4%
 
Lowercase Letter5340628.0%
 
Other Punctuation3748219.6%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
05586355.8%
 
12632726.3%
 
969196.9%
 
837633.8%
 
725752.6%
 
514871.5%
 
612411.2%
 
39280.9%
 
45480.5%
 
24900.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
%37482100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n3560466.7%
 
a1780233.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Common13762372.0%
 
Latin5340628.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
05586340.6%
 
%3748227.2%
 
12632719.1%
 
969195.0%
 
837632.7%
 
725751.9%
 
514871.1%
 
612410.9%
 
39280.7%
 
45480.4%
 
24900.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n3560466.7%
 
a1780233.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII191029100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
05586329.2%
 
%3748219.6%
 
n3560418.6%
 
12632713.8%
 
a178029.3%
 
969193.6%
 
837632.0%
 
725751.3%
 
514870.8%
 
612410.6%
 
39280.5%
 
45480.3%
 
24900.3%
 

host_is_superhost
Boolean

Distinct2
Distinct (%)< 0.1%
Missing111
Missing (%)0.2%
Memory size432.0 KiB
f
46982 
t
8191 
(Missing)
 
111
ValueCountFrequency (%) 
f4698285.0%
 
t819114.8%
 
(Missing)1110.2%
 
2022-08-08T15:46:30.535760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

host_total_listings_count
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.2%
Missing111
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20.70447501
Minimum0
Maximum1321
Zeros3461
Zeros (%)6.3%
Memory size432.0 KiB
2022-08-08T15:46:30.566822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile62
Maximum1321
Range1321
Interquartile range (IQR)4

Descriptive statistics

Standard deviation117.0296899
Coefficient of variation (CV)5.65238625
Kurtosis107.7200952
Mean20.70447501
Median Absolute Deviation (MAD)1
Skewness10.1397519
Sum1142328
Variance13695.94832
MonotocityNot monotonic
2022-08-08T15:46:30.616293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12406743.5%
 
2815914.8%
 
334966.3%
 
034616.3%
 
420573.7%
 
513242.4%
 
69331.7%
 
78041.5%
 
86891.2%
 
104550.8%
 
94460.8%
 
114060.7%
 
13213920.7%
 
133880.7%
 
123640.7%
 
153290.6%
 
182970.5%
 
202540.5%
 
162440.4%
 
142340.4%
 
232150.4%
 
911900.3%
 
211810.3%
 
371770.3%
 
261720.3%
 
Other values (74)54399.8%
 
ValueCountFrequency (%) 
034616.3%
 
12406743.5%
 
2815914.8%
 
334966.3%
 
420573.7%
 
513242.4%
 
69331.7%
 
78041.5%
 
86891.2%
 
94460.8%
 
ValueCountFrequency (%) 
13213920.7%
 
12872< 0.1%
 
8751< 0.1%
 
853350.1%
 
5147< 0.1%
 
4509< 0.1%
 
32820< 0.1%
 
2791630.3%
 
2651320.2%
 
24311< 0.1%
 

host_has_profile_pic
Boolean

Distinct2
Distinct (%)< 0.1%
Missing111
Missing (%)0.2%
Memory size432.0 KiB
t
55013 
f
 
160
(Missing)
 
111
ValueCountFrequency (%) 
t5501399.5%
 
f1600.3%
 
(Missing)1110.2%
 
2022-08-08T15:46:30.648581image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

host_identity_verified
Boolean

Distinct2
Distinct (%)< 0.1%
Missing111
Missing (%)0.2%
Memory size432.0 KiB
f
35346 
t
19827 
(Missing)
 
111
ValueCountFrequency (%) 
f3534663.9%
 
t1982735.9%
 
(Missing)1110.2%
 
2022-08-08T15:46:30.662387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

neighbourhood
Categorical

HIGH CARDINALITY

Distinct149
Distinct (%)0.3%
Missing147
Missing (%)0.3%
Memory size432.0 KiB
City of Westminster
 
3292
LB of Tower Hamlets
 
2912
LB of Hackney
 
2547
LB of Islington
 
2407
LB of Camden
 
2062
Other values (144)
41917 
ValueCountFrequency (%) 
City of Westminster32926.0%
 
LB of Tower Hamlets29125.3%
 
LB of Hackney25474.6%
 
LB of Islington24074.4%
 
LB of Camden20623.7%
 
LB of Brent16102.9%
 
RB of Kensington and Chelsea15962.9%
 
LB of Southwark15842.9%
 
LB of Lambeth15612.8%
 
LB of Wandsworth15202.7%
 
LB of Haringey14152.6%
 
LB of Hammersmith & Fulham13002.4%
 
LB of Newham11932.2%
 
LB of Barnet11012.0%
 
LB of Waltham Forest9691.8%
 
RB of Greenwich9521.7%
 
LB of Ealing8721.6%
 
LB of Lewisham8191.5%
 
LB of Croydon7161.3%
 
LB of Richmond upon Thames6961.3%
 
Shoreditch6521.2%
 
LB of Hounslow6481.2%
 
Kensington6441.2%
 
LB of Merton6441.2%
 
Hampstead6331.1%
 
Other values (124)2079237.6%
 
2022-08-08T15:46:30.698872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:30.742471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length13
Mean length13.97961435
Min length3

Overview of Unicode Properties

Unique unicode characters52
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
9093711.8%
 
o674498.7%
 
e578037.5%
 
n473796.1%
 
t424185.5%
 
a415755.4%
 
B397155.1%
 
f372374.8%
 
L334054.3%
 
s312644.0%
 
r309924.0%
 
i289993.8%
 
m266313.4%
 
h236133.1%
 
l224912.9%
 
d137731.8%
 
w136941.8%
 
H122471.6%
 
g117531.5%
 
y114361.5%
 
C101701.3%
 
W79691.0%
 
c79461.0%
 
u74851.0%
 
k68180.9%
 
Other values (27)476506.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter54020869.9%
 
Uppercase Letter13870517.9%
 
Space Separator9093711.8%
 
Other Punctuation26850.3%
 
Dash Punctuation314< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
B3971528.6%
 
L3340524.1%
 
H122478.8%
 
C101707.3%
 
W79695.7%
 
S51593.7%
 
T50983.7%
 
R44003.2%
 
I30852.2%
 
K29672.1%
 
F29382.1%
 
E23431.7%
 
N23141.7%
 
G20131.5%
 
M13911.0%
 
P13871.0%
 
D12170.9%
 
A3590.3%
 
V2650.2%
 
U1450.1%
 
J1060.1%
 
O12< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o6744912.5%
 
e5780310.7%
 
n473798.8%
 
t424187.9%
 
a415757.7%
 
f372376.9%
 
s312645.8%
 
r309925.7%
 
i289995.4%
 
m266314.9%
 
h236134.4%
 
l224914.2%
 
d137732.5%
 
w136942.5%
 
g117532.2%
 
y114362.1%
 
c79461.5%
 
u74851.4%
 
k68181.3%
 
b39980.7%
 
p36870.7%
 
v9290.2%
 
x5740.1%
 
z264< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
90937100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
&130048.4%
 
/59722.2%
 
'43716.3%
 
.35113.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-314100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin67891387.8%
 
Common9393612.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o674499.9%
 
e578038.5%
 
n473797.0%
 
t424186.2%
 
a415756.1%
 
B397155.8%
 
f372375.5%
 
L334054.9%
 
s312644.6%
 
r309924.6%
 
i289994.3%
 
m266313.9%
 
h236133.5%
 
l224913.3%
 
d137732.0%
 
w136942.0%
 
H122471.8%
 
g117531.7%
 
y114361.7%
 
C101701.5%
 
W79691.2%
 
c79461.2%
 
u74851.1%
 
k68181.0%
 
S51590.8%
 
Other values (21)394925.8%
 

Most frequent Common characters

ValueCountFrequency (%) 
9093796.8%
 
&13001.4%
 
/5970.6%
 
'4370.5%
 
.3510.4%
 
-3140.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII772849100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
9093711.8%
 
o674498.7%
 
e578037.5%
 
n473796.1%
 
t424185.5%
 
a415755.4%
 
B397155.1%
 
f372374.8%
 
L334054.3%
 
s312644.0%
 
r309924.0%
 
i289993.8%
 
m266313.4%
 
h236133.1%
 
l224912.9%
 
d137731.8%
 
w136941.8%
 
H122471.6%
 
g117531.5%
 
y114361.5%
 
C101701.3%
 
W79691.0%
 
c79461.0%
 
u74851.0%
 
k68180.9%
 
Other values (27)476506.2%
 

neighbourhood_cleansed
Categorical

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
Westminster
6011 
Tower Hamlets
5434 
Hackney
4135 
Camden
3935 
Kensington and Chelsea
3696 
Other values (28)
32073 
ValueCountFrequency (%) 
Westminster601110.9%
 
Tower Hamlets54349.8%
 
Hackney41357.5%
 
Camden39357.1%
 
Kensington and Chelsea36966.7%
 
Islington32845.9%
 
Lambeth32235.8%
 
Southwark31965.8%
 
Wandsworth27615.0%
 
Hammersmith and Fulham26564.8%
 
Brent16453.0%
 
Lewisham14902.7%
 
Haringey14172.6%
 
Newham13462.4%
 
Ealing11682.1%
 
Greenwich11292.0%
 
Barnet11032.0%
 
Waltham Forest9981.8%
 
Merton8581.6%
 
Richmond upon Thames7821.4%
 
Croydon7411.3%
 
Hounslow7201.3%
 
Redbridge4790.9%
 
Enfield4720.9%
 
Bromley4570.8%
 
Other values (8)21483.9%
 
2022-08-08T15:46:30.785315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:30.826279image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length9
Mean length10.55046668
Min length5

Overview of Unicode Properties

Unique unicode characters40
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e6282210.8%
 
n553009.5%
 
a491818.4%
 
t429257.4%
 
s382636.6%
 
m356956.1%
 
r298965.1%
 
o276854.7%
 
h253284.3%
 
i244984.2%
 
225203.9%
 
l198713.4%
 
d169622.9%
 
w163672.8%
 
H152442.6%
 
g114992.0%
 
W97701.7%
 
C86691.5%
 
u79121.4%
 
k75821.3%
 
y72071.2%
 
T65781.1%
 
c60461.0%
 
L50100.9%
 
K40580.7%
 
Other values (15)263844.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter49099284.2%
 
Uppercase Letter6976012.0%
 
Space Separator225203.9%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
H1524421.9%
 
W977014.0%
 
C866912.4%
 
T65789.4%
 
L50107.2%
 
K40585.8%
 
F36545.2%
 
B36165.2%
 
S33924.9%
 
I32844.7%
 
E16402.4%
 
N13461.9%
 
R12611.8%
 
G11291.6%
 
M8581.2%
 
D2510.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e6282212.8%
 
n5530011.3%
 
a4918110.0%
 
t429258.7%
 
s382637.8%
 
m356957.3%
 
r298966.1%
 
o276855.6%
 
h253285.2%
 
i244985.0%
 
l198714.0%
 
d169623.5%
 
w163673.3%
 
g114992.3%
 
u79121.6%
 
k75821.5%
 
y72071.5%
 
c60461.2%
 
b37020.8%
 
p11440.2%
 
f7690.2%
 
v178< 0.1%
 
x160< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
22520100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin56075296.1%
 
Common225203.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e6282211.2%
 
n553009.9%
 
a491818.8%
 
t429257.7%
 
s382636.8%
 
m356956.4%
 
r298965.3%
 
o276854.9%
 
h253284.5%
 
i244984.4%
 
l198713.5%
 
d169623.0%
 
w163672.9%
 
H152442.7%
 
g114992.1%
 
W97701.7%
 
C86691.5%
 
u79121.4%
 
k75821.4%
 
y72071.3%
 
T65781.2%
 
c60461.1%
 
L50100.9%
 
K40580.7%
 
b37020.7%
 
Other values (14)226824.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
22520100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII583272100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e6282210.8%
 
n553009.5%
 
a491818.4%
 
t429257.4%
 
s382636.6%
 
m356956.1%
 
r298965.1%
 
o276854.7%
 
h253284.3%
 
i244984.2%
 
225203.9%
 
l198713.4%
 
d169622.9%
 
w163672.8%
 
H152442.6%
 
g114992.0%
 
W97701.7%
 
C86691.5%
 
u79121.4%
 
k75821.3%
 
y72071.2%
 
T65781.1%
 
c60461.0%
 
L50100.9%
 
K40580.7%
 
Other values (15)263844.5%
 

zipcode
Categorical

HIGH CARDINALITY
MISSING

Distinct26556
Distinct (%)49.2%
Missing1272
Missing (%)2.3%
Memory size432.0 KiB
E1
 
292
NW1
 
261
N1
 
229
SE1
 
208
E2
 
195
Other values (26551)
52827 
ValueCountFrequency (%) 
E12920.5%
 
NW12610.5%
 
N12290.4%
 
SE12080.4%
 
E21950.4%
 
W21830.3%
 
E141750.3%
 
SW61310.2%
 
SW111310.2%
 
E31170.2%
 
NW61040.2%
 
NW10940.2%
 
E8940.2%
 
SW3 3AX880.2%
 
SW1V850.2%
 
E5790.1%
 
SE16780.1%
 
N16770.1%
 
SW18770.1%
 
SW19760.1%
 
W9720.1%
 
SW5720.1%
 
SW2700.1%
 
SW8660.1%
 
SW7660.1%
 
Other values (26531)5089292.1%
 
(Missing)12722.3%
 
2022-08-08T15:46:30.908057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16858 ?
Unique (%)31.2%
2022-08-08T15:46:30.956634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length7
Mean length6.371029593
Min length1

Overview of Unicode Properties

Unique unicode characters71
Unique unicode categories10 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
4661713.2%
 
13506010.0%
 
W279377.9%
 
E245987.0%
 
S218226.2%
 
N179355.1%
 
2140024.0%
 
6101522.9%
 
395582.7%
 
495432.7%
 
591642.6%
 
884022.4%
 
A81552.3%
 
979332.3%
 
778662.2%
 
H75392.1%
 
B72392.1%
 
069782.0%
 
D68011.9%
 
R65071.8%
 
J62811.8%
 
T60381.7%
 
P60291.7%
 
L58961.7%
 
Q48731.4%
 
Other values (46)292918.3%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter18115451.4%
 
Decimal Number11865833.7%
 
Space Separator4661713.2%
 
Lowercase Letter57571.6%
 
Other Punctuation15< 0.1%
 
Control10< 0.1%
 
Dash Punctuation2< 0.1%
 
Open Punctuation1< 0.1%
 
Close Punctuation1< 0.1%
 
Currency Symbol1< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
W2793715.4%
 
E2459813.6%
 
S2182212.0%
 
N179359.9%
 
A81554.5%
 
H75394.2%
 
B72394.0%
 
D68013.8%
 
R65073.6%
 
J62813.5%
 
T60383.3%
 
P60293.3%
 
L58963.3%
 
Q48732.7%
 
U42842.4%
 
G35692.0%
 
X31241.7%
 
F29881.6%
 
C29751.6%
 
Y23931.3%
 
Z15710.9%
 
V10480.6%
 
M6130.3%
 
I4660.3%
 
K4630.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
13506029.5%
 
21400211.8%
 
6101528.6%
 
395588.1%
 
495438.0%
 
591647.7%
 
884027.1%
 
979336.7%
 
778666.6%
 
069785.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
46617100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n265146.0%
 
a138424.0%
 
w2965.1%
 
e1773.1%
 
s1222.1%
 
h1111.9%
 
b1111.9%
 
j941.6%
 
d911.6%
 
p851.5%
 
t781.4%
 
l781.4%
 
q771.3%
 
r731.3%
 
f581.0%
 
g530.9%
 
u490.9%
 
x470.8%
 
y360.6%
 
z350.6%
 
c240.4%
 
v80.1%
 
m70.1%
 
o60.1%
 
i50.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,1280.0%
 
.213.3%
 
/16.7%
 

Most frequent Control characters

ValueCountFrequency (%) 
10100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
[1100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
]1100.0%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-2100.0%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
$1100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin18691153.1%
 
Common16530546.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
W2793714.9%
 
E2459813.2%
 
S2182211.7%
 
N179359.6%
 
A81554.4%
 
H75394.0%
 
B72393.9%
 
D68013.6%
 
R65073.5%
 
J62813.4%
 
T60383.2%
 
P60293.2%
 
L58963.2%
 
Q48732.6%
 
U42842.3%
 
G35691.9%
 
X31241.7%
 
F29881.6%
 
C29751.6%
 
n26511.4%
 
Y23931.3%
 
Z15710.8%
 
a13840.7%
 
V10480.6%
 
M6130.3%
 
Other values (27)26611.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
4661728.2%
 
13506021.2%
 
2140028.5%
 
6101526.1%
 
395585.8%
 
495435.8%
 
591645.5%
 
884025.1%
 
979334.8%
 
778664.8%
 
069784.2%
 
,12< 0.1%
 
10< 0.1%
 
.2< 0.1%
 
-2< 0.1%
 
[1< 0.1%
 
]1< 0.1%
 
/1< 0.1%
 
$1< 0.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII352216100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
4661713.2%
 
13506010.0%
 
W279377.9%
 
E245987.0%
 
S218226.2%
 
N179355.1%
 
2140024.0%
 
6101522.9%
 
395582.7%
 
495432.7%
 
591642.6%
 
884022.4%
 
A81552.3%
 
979332.3%
 
778662.2%
 
H75392.1%
 
B72392.1%
 
069782.0%
 
D68011.9%
 
R65071.8%
 
J62811.8%
 
T60381.7%
 
P60291.7%
 
L58961.7%
 
Q48731.4%
 
Other values (46)292918.3%
 

latitude
Real number (ℝ≥0)

Distinct18292
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5099706
Minimum51.29479
Maximum51.68169
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:31.011429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum51.29479
5-th percentile51.4249315
Q151.4853
median51.51433
Q351.53796
95-th percentile51.58492
Maximum51.68169
Range0.3869
Interquartile range (IQR)0.05266

Descriptive statistics

Standard deviation0.04674127683
Coefficient of variation (CV)0.000907421928
Kurtosis0.954760611
Mean51.5099706
Median Absolute Deviation (MAD)0.02635
Skewness-0.3287473629
Sum2847677.215
Variance0.00218474696
MonotocityNot monotonic
2022-08-08T15:46:31.058510image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51.5145917< 0.1%
 
51.5197617< 0.1%
 
51.5130717< 0.1%
 
51.5248617< 0.1%
 
51.51516< 0.1%
 
51.5157116< 0.1%
 
51.5132915< 0.1%
 
51.5254915< 0.1%
 
51.5153815< 0.1%
 
51.5186315< 0.1%
 
51.5149515< 0.1%
 
51.5190114< 0.1%
 
51.5163414< 0.1%
 
51.5176814< 0.1%
 
51.5254414< 0.1%
 
51.5151714< 0.1%
 
51.5137514< 0.1%
 
51.5150214< 0.1%
 
51.5146714< 0.1%
 
51.5134614< 0.1%
 
51.5122814< 0.1%
 
51.5171514< 0.1%
 
51.4917714< 0.1%
 
51.5133414< 0.1%
 
51.51714< 0.1%
 
Other values (18267)5491399.3%
 
ValueCountFrequency (%) 
51.294791< 0.1%
 
51.297331< 0.1%
 
51.297551< 0.1%
 
51.298131< 0.1%
 
51.298931< 0.1%
 
51.299111< 0.1%
 
51.300561< 0.1%
 
51.304751< 0.1%
 
51.307961< 0.1%
 
51.308081< 0.1%
 
ValueCountFrequency (%) 
51.681691< 0.1%
 
51.676511< 0.1%
 
51.675931< 0.1%
 
51.675661< 0.1%
 
51.675151< 0.1%
 
51.675011< 0.1%
 
51.67471< 0.1%
 
51.673931< 0.1%
 
51.673441< 0.1%
 
51.673041< 0.1%
 

longitude
Real number (ℝ)

Distinct26963
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1269621457
Minimum-0.49668
Maximum0.28539
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:31.117514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.49668
5-th percentile-0.285078
Q1-0.1876325
median-0.12451
Q3-0.06882
95-th percentile0.0168085
Maximum0.28539
Range0.78207
Interquartile range (IQR)0.1188125

Descriptive statistics

Standard deviation0.09351695298
Coefficient of variation (CV)-0.7365735076
Kurtosis1.18726439
Mean-0.1269621457
Median Absolute Deviation (MAD)0.059555
Skewness-0.1579752688
Sum-7018.975262
Variance0.008745420495
MonotocityNot monotonic
2022-08-08T15:46:31.166000image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.0994511< 0.1%
 
-0.0701511< 0.1%
 
-0.1371610< 0.1%
 
-0.1964410< 0.1%
 
-0.0705710< 0.1%
 
-0.071810< 0.1%
 
-0.1903910< 0.1%
 
-0.077969< 0.1%
 
-0.164049< 0.1%
 
-0.141539< 0.1%
 
-0.148079< 0.1%
 
-0.205799< 0.1%
 
-0.097289< 0.1%
 
-0.103529< 0.1%
 
-0.067059< 0.1%
 
-0.07059< 0.1%
 
-0.16489< 0.1%
 
-0.194039< 0.1%
 
-0.110229< 0.1%
 
-0.077919< 0.1%
 
-0.188699< 0.1%
 
-0.074788< 0.1%
 
-0.080568< 0.1%
 
-0.074258< 0.1%
 
-0.193338< 0.1%
 
Other values (26938)5505499.6%
 
ValueCountFrequency (%) 
-0.496681< 0.1%
 
-0.495821< 0.1%
 
-0.487861< 0.1%
 
-0.487711< 0.1%
 
-0.487571< 0.1%
 
-0.487291< 0.1%
 
-0.487041< 0.1%
 
-0.48561< 0.1%
 
-0.484441< 0.1%
 
-0.484381< 0.1%
 
ValueCountFrequency (%) 
0.285391< 0.1%
 
0.284291< 0.1%
 
0.258461< 0.1%
 
0.250421< 0.1%
 
0.249581< 0.1%
 
0.242661< 0.1%
 
0.240831< 0.1%
 
0.238151< 0.1%
 
0.237881< 0.1%
 
0.236731< 0.1%
 

property_type
Categorical

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
Apartment
36986 
House
11543 
Townhouse
 
1917
Condominium
 
1717
Serviced apartment
 
931
Other values (33)
 
2190
ValueCountFrequency (%) 
Apartment3698666.9%
 
House1154320.9%
 
Townhouse19173.5%
 
Condominium17173.1%
 
Serviced apartment9311.7%
 
Loft4960.9%
 
Bed and breakfast3720.7%
 
Guest suite2390.4%
 
Guesthouse2110.4%
 
Other1440.3%
 
Boutique hotel1400.3%
 
Hotel980.2%
 
Hostel950.2%
 
Bungalow920.2%
 
Cottage610.1%
 
Boat450.1%
 
Tiny house350.1%
 
Aparthotel350.1%
 
Villa24< 0.1%
 
Houseboat22< 0.1%
 
Earth house14< 0.1%
 
Cabin13< 0.1%
 
Camper/RV10< 0.1%
 
Hut9< 0.1%
 
Yurt5< 0.1%
 
Other values (13)300.1%
 
2022-08-08T15:46:31.221007image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)< 0.1%
2022-08-08T15:46:31.268339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length18
Median length9
Mean length8.378536285
Min length3

Overview of Unicode Properties

Unique unicode characters43
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
t7830716.9%
 
e5570512.0%
 
n437929.5%
 
m413708.9%
 
a403008.7%
 
r394398.5%
 
p379648.2%
 
A370218.0%
 
o203294.4%
 
u165443.6%
 
s149143.2%
 
H117672.5%
 
i48211.0%
 
d33950.7%
 
h25230.5%
 
21110.5%
 
w20090.4%
 
T19580.4%
 
C18060.4%
 
S9320.2%
 
c9320.2%
 
v9310.2%
 
f8680.2%
 
B6550.1%
 
l5170.1%
 
Other values (18)22890.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter40577387.6%
 
Uppercase Letter5530511.9%
 
Space Separator21110.5%
 
Other Punctuation10< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
A3702166.9%
 
H1176721.3%
 
T19583.5%
 
C18063.3%
 
S9321.7%
 
B6551.2%
 
L4970.9%
 
G4500.8%
 
O1440.3%
 
V340.1%
 
E14< 0.1%
 
R10< 0.1%
 
Y5< 0.1%
 
D4< 0.1%
 
F3< 0.1%
 
P2< 0.1%
 
I2< 0.1%
 
W1< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
t7830719.3%
 
e5570513.7%
 
n4379210.8%
 
m4137010.2%
 
a403009.9%
 
r394399.7%
 
p379649.4%
 
o203295.0%
 
u165444.1%
 
s149143.7%
 
i48211.2%
 
d33950.8%
 
h25230.6%
 
w20090.5%
 
c9320.2%
 
v9310.2%
 
f8680.2%
 
l5170.1%
 
b4070.1%
 
k3730.1%
 
g155< 0.1%
 
q140< 0.1%
 
y38< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2111100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
/10100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin46107899.5%
 
Common21210.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
t7830717.0%
 
e5570512.1%
 
n437929.5%
 
m413709.0%
 
a403008.7%
 
r394398.6%
 
p379648.2%
 
A370218.0%
 
o203294.4%
 
u165443.6%
 
s149143.2%
 
H117672.6%
 
i48211.0%
 
d33950.7%
 
h25230.5%
 
w20090.4%
 
T19580.4%
 
C18060.4%
 
S9320.2%
 
c9320.2%
 
v9310.2%
 
f8680.2%
 
B6550.1%
 
l5170.1%
 
L4970.1%
 
Other values (16)17820.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
211199.5%
 
/100.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII463199100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
t7830716.9%
 
e5570512.0%
 
n437929.5%
 
m413708.9%
 
a403008.7%
 
r394398.5%
 
p379648.2%
 
A370218.0%
 
o203294.4%
 
u165443.6%
 
s149143.2%
 
H117672.5%
 
i48211.0%
 
d33950.7%
 
h25230.5%
 
21110.5%
 
w20090.4%
 
T19580.4%
 
C18060.4%
 
S9320.2%
 
c9320.2%
 
v9310.2%
 
f8680.2%
 
B6550.1%
 
l5170.1%
 
Other values (18)22890.5%
 

room_type
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
Entire home/apt
30504 
Private room
23817 
Hotel room
 
539
Shared room
 
424
ValueCountFrequency (%) 
Entire home/apt3050455.2%
 
Private room2381743.1%
 
Hotel room5391.0%
 
Shared room4240.8%
 
2022-08-08T15:46:31.312285image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:31.339476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:31.373070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length15
Mean length13.62813834
Min length10

Overview of Unicode Properties

Unique unicode characters19
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e8578811.4%
 
t8536411.3%
 
o8060310.7%
 
r7952510.6%
 
552847.3%
 
m552847.3%
 
a547457.3%
 
i543217.2%
 
h309284.1%
 
E305044.0%
 
n305044.0%
 
/305044.0%
 
p305044.0%
 
P238173.2%
 
v238173.2%
 
H5390.1%
 
l5390.1%
 
S4240.1%
 
d4240.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter61234681.3%
 
Uppercase Letter552847.3%
 
Space Separator552847.3%
 
Other Punctuation305044.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
E3050455.2%
 
P2381743.1%
 
H5391.0%
 
S4240.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e8578814.0%
 
t8536413.9%
 
o8060313.2%
 
r7952513.0%
 
m552849.0%
 
a547458.9%
 
i543218.9%
 
h309285.1%
 
n305045.0%
 
p305045.0%
 
v238173.9%
 
l5390.1%
 
d4240.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
55284100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
/30504100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin66763088.6%
 
Common8578811.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e8578812.8%
 
t8536412.8%
 
o8060312.1%
 
r7952511.9%
 
m552848.3%
 
a547458.2%
 
i543218.1%
 
h309284.6%
 
E305044.6%
 
n305044.6%
 
p305044.6%
 
P238173.6%
 
v238173.6%
 
H5390.1%
 
l5390.1%
 
S4240.1%
 
d4240.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
5528464.4%
 
/3050435.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII753418100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e8578811.4%
 
t8536411.3%
 
o8060310.7%
 
r7952510.6%
 
552847.3%
 
m552847.3%
 
a547457.3%
 
i543217.2%
 
h309284.1%
 
E305044.0%
 
n305044.0%
 
/305044.0%
 
p305044.0%
 
P238173.2%
 
v238173.2%
 
H5390.1%
 
l5390.1%
 
S4240.1%
 
d4240.1%
 

accommodates
Real number (ℝ≥0)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.131756023
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:31.407426image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile7
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.930209192
Coefficient of variation (CV)0.616334471
Kurtosis4.264934685
Mean3.131756023
Median Absolute Deviation (MAD)1
Skewness1.646748779
Sum173136
Variance3.725707525
MonotocityNot monotonic
2022-08-08T15:46:31.440473image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
22367842.8%
 
41105920.0%
 
1691512.5%
 
643597.9%
 
338787.0%
 
525974.7%
 
812012.2%
 
77811.4%
 
102910.5%
 
92410.4%
 
121070.2%
 
16510.1%
 
11500.1%
 
14380.1%
 
1325< 0.1%
 
1513< 0.1%
 
ValueCountFrequency (%) 
1691512.5%
 
22367842.8%
 
338787.0%
 
41105920.0%
 
525974.7%
 
643597.9%
 
77811.4%
 
812012.2%
 
92410.4%
 
102910.5%
 
ValueCountFrequency (%) 
16510.1%
 
1513< 0.1%
 
14380.1%
 
1325< 0.1%
 
121070.2%
 
11500.1%
 
102910.5%
 
92410.4%
 
812012.2%
 
77811.4%
 

bathrooms
Real number (ℝ≥0)

Distinct20
Distinct (%)< 0.1%
Missing70
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.28385011
Minimum0
Maximum11
Zeros211
Zeros (%)0.4%
Memory size432.0 KiB
2022-08-08T15:46:31.478907image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31.5
95-th percentile2.5
Maximum11
Range11
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.5665564096
Coefficient of variation (CV)0.4412948248
Kurtosis26.68968707
Mean1.28385011
Median Absolute Deviation (MAD)0
Skewness3.3703704
Sum70886.5
Variance0.3209861653
MonotocityNot monotonic
2022-08-08T15:46:31.514854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
13854269.7%
 
2746813.5%
 
1.5597210.8%
 
2.515392.8%
 
37611.4%
 
3.52800.5%
 
02110.4%
 
0.51940.4%
 
41200.2%
 
4.5480.1%
 
518< 0.1%
 
616< 0.1%
 
1014< 0.1%
 
711< 0.1%
 
87< 0.1%
 
5.56< 0.1%
 
7.53< 0.1%
 
6.52< 0.1%
 
8.51< 0.1%
 
111< 0.1%
 
(Missing)700.1%
 
ValueCountFrequency (%) 
02110.4%
 
0.51940.4%
 
13854269.7%
 
1.5597210.8%
 
2746813.5%
 
2.515392.8%
 
37611.4%
 
3.52800.5%
 
41200.2%
 
4.5480.1%
 
ValueCountFrequency (%) 
111< 0.1%
 
1014< 0.1%
 
8.51< 0.1%
 
87< 0.1%
 
7.53< 0.1%
 
711< 0.1%
 
6.52< 0.1%
 
616< 0.1%
 
5.56< 0.1%
 
518< 0.1%
 

bedrooms
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing62
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.373872732
Minimum0
Maximum19
Zeros3360
Zeros (%)6.1%
Memory size432.0 KiB
2022-08-08T15:46:31.554449image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8594478333
Coefficient of variation (CV)0.6255658282
Kurtosis7.917093665
Mean1.373872732
Median Absolute Deviation (MAD)0
Skewness1.842042533
Sum75868
Variance0.7386505782
MonotocityNot monotonic
2022-08-08T15:46:31.588764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
13531463.9%
 
21132220.5%
 
335736.5%
 
033606.1%
 
412262.2%
 
53220.6%
 
6820.1%
 
717< 0.1%
 
82< 0.1%
 
112< 0.1%
 
91< 0.1%
 
191< 0.1%
 
(Missing)620.1%
 
ValueCountFrequency (%) 
033606.1%
 
13531463.9%
 
21132220.5%
 
335736.5%
 
412262.2%
 
53220.6%
 
6820.1%
 
717< 0.1%
 
82< 0.1%
 
91< 0.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
112< 0.1%
 
91< 0.1%
 
82< 0.1%
 
717< 0.1%
 
6820.1%
 
53220.6%
 
412262.2%
 
335736.5%
 
21132220.5%
 

beds
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing262
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.71066119
Minimum0
Maximum21
Zeros1697
Zeros (%)3.1%
Memory size432.0 KiB
2022-08-08T15:46:31.629760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.224301277
Coefficient of variation (CV)0.7156889303
Kurtosis14.82772226
Mean1.71066119
Median Absolute Deviation (MAD)0
Skewness2.699641956
Sum94124
Variance1.498913617
MonotocityNot monotonic
2022-08-08T15:46:31.665117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
13009954.4%
 
21353324.5%
 
354859.9%
 
424214.4%
 
016973.1%
 
59341.7%
 
64680.8%
 
71510.3%
 
8950.2%
 
10560.1%
 
9320.1%
 
1113< 0.1%
 
1413< 0.1%
 
1213< 0.1%
 
153< 0.1%
 
133< 0.1%
 
202< 0.1%
 
211< 0.1%
 
181< 0.1%
 
161< 0.1%
 
171< 0.1%
 
(Missing)2620.5%
 
ValueCountFrequency (%) 
016973.1%
 
13009954.4%
 
21353324.5%
 
354859.9%
 
424214.4%
 
59341.7%
 
64680.8%
 
71510.3%
 
8950.2%
 
9320.1%
 
ValueCountFrequency (%) 
211< 0.1%
 
202< 0.1%
 
181< 0.1%
 
171< 0.1%
 
161< 0.1%
 
153< 0.1%
 
1413< 0.1%
 
133< 0.1%
 
1213< 0.1%
 
1113< 0.1%
 

bed_type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
Real Bed
54864 
Pull-out Sofa
 
239
Futon
 
116
Couch
 
38
Airbed
 
27
ValueCountFrequency (%) 
Real Bed5486499.2%
 
Pull-out Sofa2390.4%
 
Futon1160.2%
 
Couch380.1%
 
Airbed27< 0.1%
 
2022-08-08T15:46:31.704217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-08-08T15:46:31.730284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:31.764951image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length13
Median length8
Mean length8.012282035
Min length5

Overview of Unicode Properties

Unique unicode characters23
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e10975524.8%
 
l5534212.5%
 
5510312.4%
 
a5510312.4%
 
d5489112.4%
 
R5486412.4%
 
B5486412.4%
 
u6320.1%
 
o6320.1%
 
t3550.1%
 
P2390.1%
 
-2390.1%
 
S2390.1%
 
f2390.1%
 
F116< 0.1%
 
n116< 0.1%
 
C38< 0.1%
 
c38< 0.1%
 
h38< 0.1%
 
A27< 0.1%
 
i27< 0.1%
 
r27< 0.1%
 
b27< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter27722262.6%
 
Uppercase Letter11038724.9%
 
Space Separator5510312.4%
 
Dash Punctuation2390.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
R5486449.7%
 
B5486449.7%
 
P2390.2%
 
S2390.2%
 
F1160.1%
 
C38< 0.1%
 
A27< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e10975539.6%
 
l5534220.0%
 
a5510319.9%
 
d5489119.8%
 
u6320.2%
 
o6320.2%
 
t3550.1%
 
f2390.1%
 
n116< 0.1%
 
c38< 0.1%
 
h38< 0.1%
 
i27< 0.1%
 
r27< 0.1%
 
b27< 0.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-239100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
55103100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin38760987.5%
 
Common5534212.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e10975528.3%
 
l5534214.3%
 
a5510314.2%
 
d5489114.2%
 
R5486414.2%
 
B5486414.2%
 
u6320.2%
 
o6320.2%
 
t3550.1%
 
P2390.1%
 
S2390.1%
 
f2390.1%
 
F116< 0.1%
 
n116< 0.1%
 
C38< 0.1%
 
c38< 0.1%
 
h38< 0.1%
 
A27< 0.1%
 
i27< 0.1%
 
r27< 0.1%
 
b27< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
5510399.6%
 
-2390.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII442951100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e10975524.8%
 
l5534212.5%
 
5510312.4%
 
a5510312.4%
 
d5489112.4%
 
R5486412.4%
 
B5486412.4%
 
u6320.1%
 
o6320.1%
 
t3550.1%
 
P2390.1%
 
-2390.1%
 
S2390.1%
 
f2390.1%
 
F116< 0.1%
 
n116< 0.1%
 
C38< 0.1%
 
c38< 0.1%
 
h38< 0.1%
 
A27< 0.1%
 
i27< 0.1%
 
r27< 0.1%
 
b27< 0.1%
 

amenities
Categorical

HIGH CARDINALITY

Distinct50376
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
{}
 
225
{Wifi,Kitchen,Heating,Washer,Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hot water","Bed linens"}
 
47
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}
 
33
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}
 
31
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector",Essentials,Shampoo,Hangers,Iron}
 
24
Other values (50371)
54924 
ValueCountFrequency (%) 
{}2250.4%
 
{Wifi,Kitchen,Heating,Washer,Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hot water","Bed linens"}470.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}330.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}310.1%
 
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector",Essentials,Shampoo,Hangers,Iron}24< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}22< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}20< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}20< 0.1%
 
{TV,"Cable TV",Wifi,"Air conditioning",Kitchen,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Keypad,"Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed"}19< 0.1%
 
{TV,Wifi,Kitchen,Washer,Iron}19< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron}19< 0.1%
 
{TV,"Cable TV",Wifi,Kitchen,Elevator,Heating,Washer,Dryer,"Smoke detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Keypad,"Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed"}18< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}18< 0.1%
 
{Wifi,Kitchen,Heating,Washer,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,Other}17< 0.1%
 
{"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50"}16< 0.1%
 
{TV,Wifi,Kitchen,"Paid parking off premises",Heating,Washer,Dryer,"Smoke detector",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Self check-in",Lockbox,"Hot water","Bed linens",Microwave,Refrigerator,"Dishes and silverware",Stove,"Long term stays allowed"}16< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,Iron,"Laptop friendly workspace","Private living room","Private entrance",Bathtub,"High chair",Crib,"Pack ’n Play/travel crib","Hot water","Bed linens","Extra pillows and blankets",Microwave,Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,"Luggage dropoff allowed","Long term stays allowed"}15< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}15< 0.1%
 
{TV,"Cable TV",Internet,Wifi,Kitchen,"Paid parking off premises","Buzzer/wireless intercom",Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Luggage dropoff allowed","Long term stays allowed",Other}14< 0.1%
 
{TV,"Cable TV",Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Keypad,"Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed"}14< 0.1%
 
{Wifi,Kitchen,"Paid parking off premises",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in","Smart lock","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,"Patio or balcony","Garden or backyard"}14< 0.1%
 
{TV,Wifi,Kitchen,Elevator,Heating,Washer,"Smoke detector",Essentials,Shampoo,Hangers}14< 0.1%
 
{TV,Wifi,Kitchen,Heating,"Family/kid friendly",Washer,"Smoke detector","Carbon monoxide detector",Essentials,Hangers,"Hair dryer",Iron,"Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware",Oven,Stove,"Long term stays allowed"}13< 0.1%
 
{TV,Wifi,Kitchen,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace"}13< 0.1%
 
{Wifi,Kitchen,Heating,Washer,Essentials,Shampoo,"Lock on bedroom door",Hangers,"Self check-in",Lockbox,"Hot water","Bed linens"}13< 0.1%
 
Other values (50351)5459598.8%
 
2022-08-08T15:46:31.899147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique47896 ?
Unique (%)86.6%
2022-08-08T15:46:31.952608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1611
Median length248
Mean length274.3291187
Min length2

Overview of Unicode Properties

Unique unicode characters67
Unique unicode categories10 ?
Unique unicode scripts2 ?
Unique unicode blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e14340459.5%
 
r10757357.1%
 
,10614127.0%
 
"10523626.9%
 
i9332056.2%
 
o9137276.0%
 
a8902685.9%
 
8296035.5%
 
t7911115.2%
 
n7837725.2%
 
s6844114.5%
 
d4085492.7%
 
l3530732.3%
 
c3217502.1%
 
g2855371.9%
 
h2700551.8%
 
m2443041.6%
 
k2426931.6%
 
p2194531.4%
 
f2136461.4%
 
y1916201.3%
 
H1837211.2%
 
w1721221.1%
 
v1308280.9%
 
S1285300.8%
 
Other values (42)13504798.9%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1082435371.4%
 
Other Punctuation215944414.2%
 
Uppercase Letter11630607.7%
 
Space Separator8296035.5%
 
Open Punctuation569020.4%
 
Close Punctuation569020.4%
 
Decimal Number292200.2%
 
Connector Punctuation221840.1%
 
Dash Punctuation185530.1%
 
Final Punctuation5790< 0.1%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
{5528497.2%
 
(16182.8%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
H18372115.8%
 
S12853011.1%
 
W1037878.9%
 
C811217.0%
 
E764546.6%
 
L750146.4%
 
F668095.7%
 
D604205.2%
 
I587785.1%
 
K514494.4%
 
P507074.4%
 
T481234.1%
 
B473024.1%
 
V467004.0%
 
R255112.2%
 
O239412.1%
 
M196401.7%
 
G91550.8%
 
A33430.3%
 
Q17170.1%
 
N8340.1%
 
J4< 0.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e143404513.2%
 
r10757359.9%
 
i9332058.6%
 
o9137278.4%
 
a8902688.2%
 
t7911117.3%
 
n7837727.2%
 
s6844116.3%
 
d4085493.8%
 
l3530733.3%
 
c3217503.0%
 
g2855372.6%
 
h2700552.5%
 
m2443042.3%
 
k2426932.2%
 
p2194532.0%
 
f2136462.0%
 
y1916201.8%
 
w1721221.6%
 
v1308281.2%
 
b1256511.2%
 
x668540.6%
 
u593600.5%
 
z125710.1%
 
q8< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,106141249.2%
 
"105236248.7%
 
/234841.1%
 
:110920.5%
 
.110920.5%
 
'2< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
829603100.0%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_22184100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
4837128.6%
 
5623921.4%
 
0623921.4%
 
9485316.6%
 
2351812.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
}5528497.2%
 
)16182.8%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-18553100.0%
 

Most frequent Final Punctuation characters

ValueCountFrequency (%) 
’5790100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1198741379.0%
 
Common317859821.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
,106141233.4%
 
"105236233.1%
 
82960326.1%
 
{552841.7%
 
}552841.7%
 
/234840.7%
 
_221840.7%
 
-185530.6%
 
:110920.3%
 
.110920.3%
 
483710.3%
 
562390.2%
 
062390.2%
 
’57900.2%
 
948530.2%
 
235180.1%
 
(16180.1%
 
)16180.1%
 
'2< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e143404512.0%
 
r10757359.0%
 
i9332057.8%
 
o9137277.6%
 
a8902687.4%
 
t7911116.6%
 
n7837726.5%
 
s6844115.7%
 
d4085493.4%
 
l3530732.9%
 
c3217502.7%
 
g2855372.4%
 
h2700552.3%
 
m2443042.0%
 
k2426932.0%
 
p2194531.8%
 
f2136461.8%
 
y1916201.6%
 
H1837211.5%
 
w1721221.4%
 
v1308281.1%
 
S1285301.1%
 
b1256511.0%
 
W1037870.9%
 
C811210.7%
 
Other values (23)8046996.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15160221> 99.9%
 
Punctuation5790< 0.1%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e14340459.5%
 
r10757357.1%
 
,10614127.0%
 
"10523626.9%
 
i9332056.2%
 
o9137276.0%
 
a8902685.9%
 
8296035.5%
 
t7911115.2%
 
n7837725.2%
 
s6844114.5%
 
d4085492.7%
 
l3530732.3%
 
c3217502.1%
 
g2855371.9%
 
h2700551.8%
 
m2443041.6%
 
k2426931.6%
 
p2194531.4%
 
f2136461.4%
 
y1916201.3%
 
H1837211.2%
 
w1721221.1%
 
v1308280.9%
 
S1285300.8%
 
Other values (41)13446898.9%
 

Most frequent Punctuation characters

ValueCountFrequency (%) 
’5790100.0%
 

price
Real number (ℝ≥0)

Distinct476
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.3087512
Minimum10
Maximum500
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.005530image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26
Q145
median80
Q3130
95-th percentile279
Maximum500
Range490
Interquartile range (IQR)85

Descriptive statistics

Standard deviation83.74040666
Coefficient of variation (CV)0.8028128582
Kurtosis4.995691163
Mean104.3087512
Median Absolute Deviation (MAD)40
Skewness2.024751692
Sum5766605
Variance7012.455708
MonotocityNot monotonic
2022-08-08T15:46:32.055328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5020623.7%
 
10020153.6%
 
4018093.3%
 
3516302.9%
 
12015922.9%
 
3015852.9%
 
15015782.9%
 
4515682.8%
 
6015552.8%
 
8014902.7%
 
9013262.4%
 
7012702.3%
 
7512132.2%
 
5511012.0%
 
6510611.9%
 
2510311.9%
 
859891.8%
 
2009401.7%
 
1109111.6%
 
957331.3%
 
997121.3%
 
1306751.2%
 
1406631.2%
 
2506411.2%
 
1255611.0%
 
Other values (451)2457344.4%
 
ValueCountFrequency (%) 
10500.1%
 
119< 0.1%
 
1212< 0.1%
 
1311< 0.1%
 
1425< 0.1%
 
15720.1%
 
16400.1%
 
17710.1%
 
18860.2%
 
191040.2%
 
ValueCountFrequency (%) 
5002350.4%
 
49919< 0.1%
 
4981< 0.1%
 
4973< 0.1%
 
4962< 0.1%
 
49523< 0.1%
 
4945< 0.1%
 
4922< 0.1%
 
4911< 0.1%
 
4907< 0.1%
 

guests_included
Real number (ℝ≥0)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.574831778
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.098288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum46
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263427391
Coefficient of variation (CV)0.8022618093
Kurtosis42.53944168
Mean1.574831778
Median Absolute Deviation (MAD)0
Skewness3.946512499
Sum87063
Variance1.596248773
MonotocityNot monotonic
2022-08-08T15:46:32.131320image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
14000672.4%
 
2871015.8%
 
435516.4%
 
311162.0%
 
68981.6%
 
55461.0%
 
82280.4%
 
71080.2%
 
10550.1%
 
923< 0.1%
 
1618< 0.1%
 
1210< 0.1%
 
118< 0.1%
 
154< 0.1%
 
142< 0.1%
 
461< 0.1%
 
ValueCountFrequency (%) 
14000672.4%
 
2871015.8%
 
311162.0%
 
435516.4%
 
55461.0%
 
68981.6%
 
71080.2%
 
82280.4%
 
923< 0.1%
 
10550.1%
 
ValueCountFrequency (%) 
461< 0.1%
 
1618< 0.1%
 
154< 0.1%
 
142< 0.1%
 
1210< 0.1%
 
118< 0.1%
 
10550.1%
 
923< 0.1%
 
82280.4%
 
71080.2%
 

review_scores_rating
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)0.1%
Missing13415
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean92.53304354
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.174293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile76
Q190
median96
Q3100
95-th percentile100
Maximum100
Range80
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.03062038
Coefficient of variation (CV)0.1084004156
Kurtosis14.18138942
Mean92.53304354
Median Absolute Deviation (MAD)4
Skewness-3.029662248
Sum3874266
Variance100.6133451
MonotocityNot monotonic
2022-08-08T15:46:32.225499image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1001168021.1%
 
9826404.8%
 
9724894.5%
 
9324664.5%
 
9624544.4%
 
9523154.2%
 
9022234.0%
 
8021273.8%
 
9917303.1%
 
9415742.8%
 
9212292.2%
 
9111662.1%
 
879981.8%
 
888841.6%
 
898481.5%
 
856481.2%
 
605351.0%
 
865130.9%
 
845060.9%
 
834200.8%
 
822470.4%
 
702300.4%
 
732300.4%
 
201700.3%
 
811690.3%
 
Other values (32)13782.5%
 
(Missing)1341524.3%
 
ValueCountFrequency (%) 
201700.3%
 
302< 0.1%
 
321< 0.1%
 
371< 0.1%
 
401520.3%
 
441< 0.1%
 
452< 0.1%
 
477< 0.1%
 
50690.1%
 
523< 0.1%
 
ValueCountFrequency (%) 
1001168021.1%
 
9917303.1%
 
9826404.8%
 
9724894.5%
 
9624544.4%
 
9523154.2%
 
9415742.8%
 
9324664.5%
 
9212292.2%
 
9111662.1%
 

review_scores_accuracy
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13448
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean9.502868343
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.269633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9824643429
Coefficient of variation (CV)0.1033860838
Kurtosis18.99894602
Mean9.502868343
Median Absolute Deviation (MAD)0
Skewness-3.615732265
Sum397562
Variance0.965236185
MonotocityNot monotonic
2022-08-08T15:46:32.301047image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
102831551.2%
 
9961817.4%
 
824924.5%
 
75281.0%
 
64950.9%
 
21900.3%
 
41120.2%
 
5810.1%
 
35< 0.1%
 
(Missing)1344824.3%
 
ValueCountFrequency (%) 
21900.3%
 
35< 0.1%
 
41120.2%
 
5810.1%
 
64950.9%
 
75281.0%
 
824924.5%
 
9961817.4%
 
102831551.2%
 
ValueCountFrequency (%) 
102831551.2%
 
9961817.4%
 
824924.5%
 
75281.0%
 
64950.9%
 
5810.1%
 
41120.2%
 
35< 0.1%
 
21900.3%
 

review_scores_cleanliness
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13442
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean9.261483677
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.334557image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.138547711
Coefficient of variation (CV)0.1229336195
Kurtosis10.71409916
Mean9.261483677
Median Absolute Deviation (MAD)0
Skewness-2.691351689
Sum387519
Variance1.296290889
MonotocityNot monotonic
2022-08-08T15:46:32.364990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
102299141.6%
 
91202521.8%
 
843957.9%
 
710902.0%
 
67711.4%
 
22220.4%
 
41920.3%
 
51440.3%
 
312< 0.1%
 
(Missing)1344224.3%
 
ValueCountFrequency (%) 
22220.4%
 
312< 0.1%
 
41920.3%
 
51440.3%
 
67711.4%
 
710902.0%
 
843957.9%
 
91202521.8%
 
102299141.6%
 
ValueCountFrequency (%) 
102299141.6%
 
91202521.8%
 
843957.9%
 
710902.0%
 
67711.4%
 
51440.3%
 
41920.3%
 
312< 0.1%
 
22220.4%
 

review_scores_checkin
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13483
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean9.622042535
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.397942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.894930566
Coefficient of variation (CV)0.09300837766
Kurtosis25.96355525
Mean9.622042535
Median Absolute Deviation (MAD)0
Skewness-4.282580162
Sum402211
Variance0.8009007179
MonotocityNot monotonic
2022-08-08T15:46:32.429174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
103154757.1%
 
9739113.4%
 
817793.2%
 
73940.7%
 
63780.7%
 
21620.3%
 
4900.2%
 
5500.1%
 
310< 0.1%
 
(Missing)1348324.4%
 
ValueCountFrequency (%) 
21620.3%
 
310< 0.1%
 
4900.2%
 
5500.1%
 
63780.7%
 
73940.7%
 
817793.2%
 
9739113.4%
 
103154757.1%
 
ValueCountFrequency (%) 
103154757.1%
 
9739113.4%
 
817793.2%
 
73940.7%
 
63780.7%
 
5500.1%
 
4900.2%
 
310< 0.1%
 
21620.3%
 

review_scores_communication
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13446
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean9.652851475
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.463273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8738049121
Coefficient of variation (CV)0.09052298323
Kurtosis28.31179556
Mean9.652851475
Median Absolute Deviation (MAD)0
Skewness-4.496917653
Sum403856
Variance0.7635350245
MonotocityNot monotonic
2022-08-08T15:46:32.494516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
103253958.9%
 
9662712.0%
 
816343.0%
 
73990.7%
 
63390.6%
 
21590.3%
 
4810.1%
 
5510.1%
 
39< 0.1%
 
(Missing)1344624.3%
 
ValueCountFrequency (%) 
21590.3%
 
39< 0.1%
 
4810.1%
 
5510.1%
 
63390.6%
 
73990.7%
 
816343.0%
 
9662712.0%
 
103253958.9%
 
ValueCountFrequency (%) 
103253958.9%
 
9662712.0%
 
816343.0%
 
73990.7%
 
63390.6%
 
5510.1%
 
4810.1%
 
39< 0.1%
 
21590.3%
 

review_scores_location
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13480
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean9.541622811
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.528351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8104078663
Coefficient of variation (CV)0.08493396588
Kurtosis19.79194824
Mean9.541622811
Median Absolute Deviation (MAD)0
Skewness-3.32690996
Sum398878
Variance0.6567609097
MonotocityNot monotonic
2022-08-08T15:46:32.562147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
102751149.8%
 
91112820.1%
 
823974.3%
 
63140.6%
 
72970.5%
 
2850.2%
 
4510.1%
 
520< 0.1%
 
31< 0.1%
 
(Missing)1348024.4%
 
ValueCountFrequency (%) 
2850.2%
 
31< 0.1%
 
4510.1%
 
520< 0.1%
 
63140.6%
 
72970.5%
 
823974.3%
 
91112820.1%
 
102751149.8%
 
ValueCountFrequency (%) 
102751149.8%
 
91112820.1%
 
823974.3%
 
72970.5%
 
63140.6%
 
520< 0.1%
 
4510.1%
 
31< 0.1%
 
2850.2%
 

review_scores_value
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13480
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean9.262845661
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.598540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median9
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.033351129
Coefficient of variation (CV)0.1115587117
Kurtosis12.96838684
Mean9.262845661
Median Absolute Deviation (MAD)1
Skewness-2.80623324
Sum387224
Variance1.067814556
MonotocityNot monotonic
2022-08-08T15:46:32.634395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
102076737.6%
 
91518927.5%
 
840757.4%
 
77691.4%
 
65581.0%
 
21750.3%
 
41550.3%
 
51020.2%
 
314< 0.1%
 
(Missing)1348024.4%
 
ValueCountFrequency (%) 
21750.3%
 
314< 0.1%
 
41550.3%
 
51020.2%
 
65581.0%
 
77691.4%
 
840757.4%
 
91518927.5%
 
102076737.6%
 
ValueCountFrequency (%) 
102076737.6%
 
91518927.5%
 
840757.4%
 
77691.4%
 
65581.0%
 
51020.2%
 
41550.3%
 
314< 0.1%
 
21750.3%
 

cancellation_policy
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
strict_14_with_grace_period
24102 
flexible
17094 
moderate
13643 
super_strict_60
 
230
super_strict_30
 
211
Other values (3)
 
4
ValueCountFrequency (%) 
strict_14_with_grace_period2410243.6%
 
flexible1709430.9%
 
moderate1364324.7%
 
super_strict_602300.4%
 
super_strict_302110.4%
 
strict2< 0.1%
 
luxury_moderate1< 0.1%
 
luxury_super_strict_951< 0.1%
 
2022-08-08T15:46:32.675619image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
2022-08-08T15:46:32.703006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:32.743244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length27
Median length8
Mean length16.33951957
Min length6

Overview of Unicode Properties

Unique unicode characters28
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e11012212.2%
 
_9729410.8%
 
i898449.9%
 
t868389.6%
 
r868389.6%
 
c486485.4%
 
a377464.2%
 
o377464.2%
 
d377464.2%
 
l341903.8%
 
s249882.8%
 
p245442.7%
 
1241022.7%
 
4241022.7%
 
w241022.7%
 
h241022.7%
 
g241022.7%
 
x170961.9%
 
f170941.9%
 
b170941.9%
 
m136441.5%
 
u446< 0.1%
 
0441< 0.1%
 
6230< 0.1%
 
3211< 0.1%
 
Other values (3)4< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter75693283.8%
 
Connector Punctuation9729410.8%
 
Decimal Number490885.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e11012214.5%
 
i8984411.9%
 
t8683811.5%
 
r8683811.5%
 
c486486.4%
 
a377465.0%
 
o377465.0%
 
d377465.0%
 
l341904.5%
 
s249883.3%
 
p245443.2%
 
w241023.2%
 
h241023.2%
 
g241023.2%
 
x170962.3%
 
f170942.3%
 
b170942.3%
 
m136441.8%
 
u4460.1%
 
y2< 0.1%
 

Most frequent Connector Punctuation characters

ValueCountFrequency (%) 
_97294100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
12410249.1%
 
42410249.1%
 
04410.9%
 
62300.5%
 
32110.4%
 
91< 0.1%
 
51< 0.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin75693283.8%
 
Common14638216.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e11012214.5%
 
i8984411.9%
 
t8683811.5%
 
r8683811.5%
 
c486486.4%
 
a377465.0%
 
o377465.0%
 
d377465.0%
 
l341904.5%
 
s249883.3%
 
p245443.2%
 
w241023.2%
 
h241023.2%
 
g241023.2%
 
x170962.3%
 
f170942.3%
 
b170942.3%
 
m136441.8%
 
u4460.1%
 
y2< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
_9729466.5%
 
12410216.5%
 
42410216.5%
 
04410.3%
 
62300.2%
 
32110.1%
 
91< 0.1%
 
51< 0.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII903314100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e11012212.2%
 
_9729410.8%
 
i898449.9%
 
t868389.6%
 
r868389.6%
 
c486485.4%
 
a377464.2%
 
o377464.2%
 
d377464.2%
 
l341903.8%
 
s249882.8%
 
p245442.7%
 
1241022.7%
 
4241022.7%
 
w241022.7%
 
h241022.7%
 
g241022.7%
 
x170961.9%
 
f170941.9%
 
b170941.9%
 
m136441.5%
 
u446< 0.1%
 
0441< 0.1%
 
6230< 0.1%
 
3211< 0.1%
 
Other values (3)4< 0.1%
 

reviews_per_month
Real number (ℝ≥0)

MISSING

Distinct862
Distinct (%)2.0%
Missing12380
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean1.164463919
Minimum0.01
Maximum22.04
Zeros0
Zeros (%)0.0%
Memory size432.0 KiB
2022-08-08T15:46:32.785117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.05
Q10.24
median0.73
Q31.57
95-th percentile3.93
Maximum22.04
Range22.03
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation1.353819562
Coefficient of variation (CV)1.162611859
Kurtosis9.700335971
Mean1.164463919
Median Absolute Deviation (MAD)0.56
Skewness2.462967939
Sum49960.16
Variance1.832827408
MonotocityNot monotonic
2022-08-08T15:46:32.832941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
111782.1%
 
0.027951.4%
 
0.047091.3%
 
0.056521.2%
 
0.076231.1%
 
0.065931.1%
 
0.085751.0%
 
0.035491.0%
 
0.164860.9%
 
0.134630.8%
 
0.114590.8%
 
0.124440.8%
 
0.14440.8%
 
0.144350.8%
 
0.094140.7%
 
0.153840.7%
 
0.23830.7%
 
0.183660.7%
 
23620.7%
 
0.243600.7%
 
0.223460.6%
 
0.213450.6%
 
0.193360.6%
 
0.173330.6%
 
0.233320.6%
 
Other values (837)3053855.2%
 
(Missing)1238022.4%
 
ValueCountFrequency (%) 
0.0126< 0.1%
 
0.027951.4%
 
0.035491.0%
 
0.047091.3%
 
0.056521.2%
 
0.065931.1%
 
0.076231.1%
 
0.085751.0%
 
0.094140.7%
 
0.14440.8%
 
ValueCountFrequency (%) 
22.041< 0.1%
 
17.011< 0.1%
 
16.811< 0.1%
 
14.481< 0.1%
 
13.611< 0.1%
 
13.461< 0.1%
 
12.651< 0.1%
 
12.551< 0.1%
 
12.241< 0.1%
 
12.151< 0.1%
 

listing_id
Categorical

UNIQUE

Distinct55284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 KiB
9Q1RD6H7IO
 
1
FEN8JNQMVD
 
1
S4WCLSSNI9
 
1
LN8PIY7MVG
 
1
4JM64CG4DK
 
1
Other values (55279)
55279 
ValueCountFrequency (%) 
9Q1RD6H7IO1< 0.1%
 
FEN8JNQMVD1< 0.1%
 
S4WCLSSNI91< 0.1%
 
LN8PIY7MVG1< 0.1%
 
4JM64CG4DK1< 0.1%
 
LZML3F280L1< 0.1%
 
UQB45MCZUJ1< 0.1%
 
1ACMJI4Z5X1< 0.1%
 
9YWKHMH38L1< 0.1%
 
FJBQ2RO95F1< 0.1%
 
14S7V4K7LV1< 0.1%
 
MWYSPVOO7Z1< 0.1%
 
BK8S3ZLY0V1< 0.1%
 
BGTW6JTC761< 0.1%
 
8QOJK748LV1< 0.1%
 
NAK8FKJPVD1< 0.1%
 
0B31DML6EV1< 0.1%
 
VE1K6ERIJC1< 0.1%
 
6SLH27EUY81< 0.1%
 
BNF5HL6VT71< 0.1%
 
8L7OUM9N4Q1< 0.1%
 
A0B0YK1QP41< 0.1%
 
FHWJOGXVX31< 0.1%
 
8KLZ8VKBMM1< 0.1%
 
GC5XEZFTM61< 0.1%
 
Other values (55259)55259> 99.9%
 
2022-08-08T15:46:32.949959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique55284 ?
Unique (%)100.0%
2022-08-08T15:46:32.988131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

Overview of Unicode Properties

Unique unicode characters36
Unique unicode categories2 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
A155532.8%
 
M155522.8%
 
I155292.8%
 
T155182.8%
 
V154852.8%
 
5154732.8%
 
E154662.8%
 
6154422.8%
 
W154332.8%
 
O154322.8%
 
X154062.8%
 
Q154022.8%
 
4153872.8%
 
9153862.8%
 
C153812.8%
 
J153802.8%
 
0153782.8%
 
3153742.8%
 
G153702.8%
 
8153662.8%
 
L153462.8%
 
S153452.8%
 
F153442.8%
 
N153382.8%
 
2153322.8%
 
Other values (11)16742230.3%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter39932472.2%
 
Decimal Number15351627.8%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
51547310.1%
 
61544210.1%
 
41538710.0%
 
91538610.0%
 
01537810.0%
 
31537410.0%
 
81536610.0%
 
21533210.0%
 
1152559.9%
 
7151239.9%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
A155533.9%
 
M155523.9%
 
I155293.9%
 
T155183.9%
 
V154853.9%
 
E154663.9%
 
W154333.9%
 
O154323.9%
 
X154063.9%
 
Q154023.9%
 
C153813.9%
 
J153803.9%
 
G153703.8%
 
L153463.8%
 
S153453.8%
 
F153443.8%
 
N153383.8%
 
P153283.8%
 
Z152953.8%
 
D152893.8%
 
B152473.8%
 
K152423.8%
 
H152263.8%
 
U152103.8%
 
Y151363.8%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin39932472.2%
 
Common15351627.8%
 

Most frequent Common characters

ValueCountFrequency (%) 
51547310.1%
 
61544210.1%
 
41538710.0%
 
91538610.0%
 
01537810.0%
 
31537410.0%
 
81536610.0%
 
21533210.0%
 
1152559.9%
 
7151239.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
A155533.9%
 
M155523.9%
 
I155293.9%
 
T155183.9%
 
V154853.9%
 
E154663.9%
 
W154333.9%
 
O154323.9%
 
X154063.9%
 
Q154023.9%
 
C153813.9%
 
J153803.9%
 
G153703.8%
 
L153463.8%
 
S153453.8%
 
F153443.8%
 
N153383.8%
 
P153283.8%
 
Z152953.8%
 
D152893.8%
 
B152473.8%
 
K152423.8%
 
H152263.8%
 
U152103.8%
 
Y151363.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII552840100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
A155532.8%
 
M155522.8%
 
I155292.8%
 
T155182.8%
 
V154852.8%
 
5154732.8%
 
E154662.8%
 
6154422.8%
 
W154332.8%
 
O154322.8%
 
X154062.8%
 
Q154022.8%
 
4153872.8%
 
9153862.8%
 
C153812.8%
 
J153802.8%
 
0153782.8%
 
3153742.8%
 
G153702.8%
 
8153662.8%
 
L153462.8%
 
S153452.8%
 
F153442.8%
 
N153382.8%
 
2153322.8%
 
Other values (11)16742230.3%
 

Interactions

2022-08-08T15:46:06.924085image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:06.997550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.054910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.107335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.165709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.216085image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.262223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.308649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.357246image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.402363image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.449299image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.501887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.550685image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.600123image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.648071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:07.696070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.264016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.314816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.359008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.405151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.452620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.501684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.562177image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.610326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.672491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.730516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.789327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.837624image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.885228image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:11.952367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.018296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.079661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.143198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.191420image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.249764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.318245image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.363626image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.412488image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.461912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.514720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.564617image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.614944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.664902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.712876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.767277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.815377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.863473image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.916102image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:12.965624image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.016551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.068177image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.117945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.169164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.219105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.267819image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.314261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.363445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.412824image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.460538image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.509549image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.554933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.600670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.650198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.696094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.741626image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.789904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.838282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.888853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.938930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:13.991559image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.043570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.093070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.142720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.190873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.237796image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.287211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.336442image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.385483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.432264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.478234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.525982image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.570398image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.615082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.661503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.708174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.762223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.809240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.856248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.902699image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.950538image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:14.995000image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.039534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.087399image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.140044image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.185230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.231115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.271088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.314741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.360328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.401581image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.444019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.488355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.532949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.577752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.622531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.666859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.710850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.756535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.798558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.841193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.885663image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.931060image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:15.979260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.022596image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.064459image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.106176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.151491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.193679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.234751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.280230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.324851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.369275image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.414788image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.457378image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.501986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.546254image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.588041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.636055image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.684156image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.733440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.781280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.828755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.873961image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.919094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:16.968607image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.014231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.062295image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.110569image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.158975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.206958image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.257600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.307729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.356683image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.405007image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.449191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.492155image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.537046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.582775image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.627901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.671858image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.714469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.756850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.801059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.842176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.885487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.930372image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:17.974533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.019114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.063282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.107091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.151643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.195782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.236131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.278885image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.325266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.370861image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.413758image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.456572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.498591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.539349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.583843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.624767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.665244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.710331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.754331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.798346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.842897image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.886886image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.930707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:18.975218image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.016924image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.063949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.112512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.162755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.211066image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.260093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.305734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.352563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.401370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.447830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.494966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.548237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.603385image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.659092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.708938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.758410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.804661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.854960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.902977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:19.950707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.002086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.052831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.101377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.148710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.192856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.239125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.284591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.332285image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.378942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.429008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.477941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.526201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.574700image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.623281image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.672567image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.721646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.768037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.815751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.863552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.913606image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:20.961853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.010572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.058142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.103726image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.151285image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.197508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.244211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.293077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.341357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.389931image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.437969image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.484708image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.534505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.585573image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:21.632038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.388123image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.436540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.485726image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.533793image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.581743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.627728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.674570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.723681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.771301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.821999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.871064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.918588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:22.966141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.013496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.062415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.110753image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.156704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.202151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.250740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.298739image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.346510image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.393984image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.442378image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.489617image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.537304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.587168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.632542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.678217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.726410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.773454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.822464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.871805image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.920633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:23.969839image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.019079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.064103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.109198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.157804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.208467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.258179image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.309260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.355701image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.401458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.450436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.497056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.543258image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.591071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.639477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.688413image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.737121image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.788148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.841195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.889818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.936440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:24.983406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.031032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.080734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.129829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.177454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.223080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.269303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.318742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.364598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.409864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.460725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.508920image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.557175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.604071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.653382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.702329image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.749500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.795751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.837844image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.881617image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.928884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:25.973211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.022560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.070697image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.113946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.157914image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.198043image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.238420image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.284832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.326568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.369932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.413519image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.457580image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.500945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:26.544777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-08-08T15:46:33.031090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-08T15:46:33.119230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-08T15:46:33.209122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-08T15:46:33.304425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-08-08T15:46:33.410137image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-08-08T15:46:27.004654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:27.636943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:28.267547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-08T15:46:28.566689image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Sample

First rows

namesummaryspacedescriptionexperiences_offeredneighborhood_overviewtransithouse_rulespicture_urlhost_idhost_sincehost_response_timehost_response_ratehost_is_superhosthost_total_listings_counthost_has_profile_pichost_identity_verifiedneighbourhoodneighbourhood_cleansedzipcodelatitudelongitudeproperty_typeroom_typeaccommodatesbathroomsbedroomsbedsbed_typeamenitiespriceguests_includedreview_scores_ratingreview_scores_accuracyreview_scores_cleanlinessreview_scores_checkinreview_scores_communicationreview_scores_locationreview_scores_valuecancellation_policyreviews_per_monthlisting_id
0Attic Room in historic GreenwichThe room does not have a door but its own discreet staircase. It is light, airy and open plan. The leaning ceiling provides a snug hideaway feel and benefits from a fine panoramic view of London.Double room available in historic royal Greenwich; a UNESCO designated World Heritage Site for its significant contribution to the cultural and natural heritage of the world. The house is in a peaceful residential street that has panoramic views across London. Please Note that clean bedding and towels are provided and whilst I do not prepare breakfast you are welcome to make use of kitchen facilities, and sundries like cereal, fruit, milk, tea, coffee I may have in, for breakfast and light refreshments. The walk to the house is up hill. The attic room is on the second storey it has privacy but no door. The stairs have a tight turn at the top which makes trunks and very large suitcases difficult to maneuver - ask if assistance is required. A key for access to the house is available on request.The room does not have a door but its own discreet staircase. It is light, airy and open plan. The leaning ceiling provides a snug hideaway feel and benefits from a fine panoramic view of London. Double room available in historic royal Greenwich; a UNESCO designated World Heritage Site for its significant contribution to the cultural and natural heritage of the world. The house is in a peaceful residential street that has panoramic views across London. Please Note that clean bedding and towels are provided and whilst I do not prepare breakfast you are welcome to make use of kitchen facilities, and sundries like cereal, fruit, milk, tea, coffee I may have in, for breakfast and light refreshments. The walk to the house is up hill. The attic room is on the second storey it has privacy but no door. The stairs have a tight turn at the top which makes trunks and very large suitcases difficult to maneuver - ask if assistance is required. A key for access to the house is available on requebusinessNaNParking is restricted in London. Visitors parking permits for my area are available for £5 per day. The house is a 10-12 miute walk from Greenwich rail station.no shoes on carpets no food in attic room no other guests to be invited back to househttps://a0.muscache.com/im/pictures/20045164/7a62eb0c_original.jpg?aki_policy=large21679922012-04-18within an hour100%t1.0tfGreenwichGreenwichSE10 8SX51.47457-0.01062TownhousePrivate room21.01.01.0Pull-out Sofa{Wifi,"Paid parking off premises",Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Hot water","Bed linens","Extra pillows and blankets","Dishes and silverware","Luggage dropoff allowed","Host greets you","Handheld shower head"}35.0195.010.010.010.010.010.010.0strict_14_with_grace_period2.379Q1RD6H7IO
1Lovely Garden Studio Private AccessGarden studio with private entrance, 5 minutes from Crouch End & its many shops & restaurants. All modern amenities - free high speed wifi, FreeviewTV, High pressure shower, comfy King bed, toaster/kettle/fridge. Lots of room and very quiet!Beautiful studio with a king size bed, a sofa & coffee table. Little kitchen area, equipped with a toaster, kettle, fridge, and cups, bowls, cutlery plates & biscuits! Light, self-service breakfast provided. Nice lighting and art, and a place for your suitcase and to hang your clothes. Blackout curtains for peaceful sleep.Garden studio with private entrance, 5 minutes from Crouch End & its many shops & restaurants. All modern amenities - free high speed wifi, FreeviewTV, High pressure shower, comfy King bed, toaster/kettle/fridge. Lots of room and very quiet! Beautiful studio with a king size bed, a sofa & coffee table. Little kitchen area, equipped with a toaster, kettle, fridge, and cups, bowls, cutlery plates & biscuits! Light, self-service breakfast provided. Nice lighting and art, and a place for your suitcase and to hang your clothes. Blackout curtains for peaceful sleep. Once you have checked in to collect keys, you will have private access to your studio via a side entrance gate to our garden. We will be here to greet you and get you set up in your temporary home. Happy to recommend local eateries and provide transport tips. Crouch End is a very hip and friendly neighbourhood. It is filled with endless options for eating out and lots of lovely shops! Great Vietnamese restaurant Khoai Cafe, isnoneCrouch End is a very hip and friendly neighbourhood. It is filled with endless options for eating out and lots of lovely shops! Great Vietnamese restaurant Khoai Cafe, is a favourite, as is Irvin (Italian & Scottish Tapas bar!) run by the former drummer of Lloyd Cole & the Commotions. New, amazing ice cream shop La Gelatiera will have you licking your lips and coming back for more! - but you might have to queue! Nearby Priory Road (with a lovely leafy Park just 1 min walk away) The Crouch End Broadway and surrounding streets offer a good selection of shops, trendy cafés and restaurants to choose from. Banner’s is a particularly favoured American-style restaurant on Park Road, with a dimly lit dining area and cool choice of music. The King’s Head is a popular gastro pub with a downstairs comedy club, a popular choice with local residents. Owner's favourites: The Haberdashery is a lovely cafe on Middle Lane (5 min walk, reminiscent of NYC's Greenwich Village, which serves Italian-styleWalk across the street to the W3 bus stop and be at Finsbury Park Underground station in 10 minutes. From there take the Victoria or Piccadilly lines and be in Covent Garden, Leicester Square, West End, Knightsbridge (for Harrods), Buckingham Palace, or Kensington in 25 minutes. When returning to the studio - exit the W3 bus at the Palace Rd stop, and walk around the corner to Rokesly Ave. Crouch End has a real charm and urban village feel, and neighboring Hornsey boasts additional transport connections with the mainline train reaching Kings Cross in just 15 minutes, and Turnpike Lane Underground Station on the Piccadilly line. Crouch End has extremely good bus services to Finsbury Park which is 10 minutes away. Finsbury Park is on the Victoria and Piccadilly Line which serves the entire centre of London including the City and West-End. This station is 3 stops away from Oxford Street (shopping!) which takes about 10 minutes once on the tube. From Crouch End, you can also access the NoWe'd love it if you would remove your shoes at the door to help keep our garden retreat tidy. Sorry, no parties. Come for the peace and quiet and the great location. No pets - but feel free to bird watch in the garden! Sorry, no smoking inside, but an outside ash tray can be arranged, if required.https://a0.muscache.com/im/pictures/8d1ddcdc-f078-4178-b421-41d744762fc1.jpg?aki_policy=large161481752014-05-29within a few hours100%t1.0ttLB of HaringeyHaringeyN8 8NR51.58329-0.12416GuesthousePrivate room21.01.01.0Real Bed{TV,Wifi,"Free parking on premises",Breakfast,"Free street parking",Heating,"First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Hot water","Coffee maker",Refrigerator,"Dishes and silverware","Host greets you"}75.0299.010.010.010.010.010.010.0moderate2.976XDPZPGLSR
2Comfi apartment 2 close to wimbledon tennis courtNaNNaNNaNnoneNaNNaN1- No party or event allowed. 2-No smoking inside the property. 3-No additional guest. 4-No unsociable noise at any time. 5- Quiet time between 10PM-7AM. 6-please respect the neighbours. 7-Check out is 10AM. 8-Flexible check in. 9-No eating in bed room. 10-Lost key or locked out, there will be £50 charge. 11-Accidents happen ,please inform the host at any damage. 12-During the stay, the host is not responsible for self injuries,illness,theft or accidents. 13-I am here to help you be comfortable, happy and most importantly want you to have a pleasant stay .Please do not hesitate to contact me on (Phone number hidden by Airbnb) or (Phone number hidden by Airbnb) If any of house rules are broken there will be financial consequences charged to the guest.https://a0.muscache.com/im/pictures/e7e4a740-dfc0-4929-a93b-5dfac4abda9c.jpg?aki_policy=large2720001992019-06-28within an hour100%f2.0tfLB of MertonMertonSW19 1DG51.41634-0.18567ApartmentEntire home/apt51.01.02.0Real Bed{Wifi,Kitchen,"Paid parking off premises",Heating,Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Iron,"Laptop friendly workspace","Private entrance","Hot water","Bed linens","Extra pillows and blankets",Refrigerator,"Dishes and silverware","Cooking basics",Oven,"Luggage dropoff allowed","Long term stays allowed","Cleaning before checkout","Host greets you"}120.0284.09.09.010.010.09.08.0strict_14_with_grace_period1.73SND9OPN6IY
3Luxury room in the heart of London - SW4Luxury first floor Victorian split level maisonette in Clapham South (Abbeville village) - oak wood floors throughout, recently re-furbished to a very high standard, it also have a lovely terrace.Your room will be fully furnished, and it will include a double bed, mirrored wardrobe, a chest of 4 drawers, 2 side cabinets, 1 side table, 4 side lights and it has its own private brand new bathroom. Fresh bed linen, towels, soap and shampoo will be provided. There is also a coffee machine (Nespresso) in the kitchen which you will be welcome to use / Kettle for tea. The flat it's only 1/2 mins walk to shops, bars and restaurants in Abbeville road, Sainsbury and Coop supermarkets 2 mins away, Clapham Common park 2 mins away.Luxury first floor Victorian split level maisonette in Clapham South (Abbeville village) - oak wood floors throughout, recently re-furbished to a very high standard, it also have a lovely terrace. Your room will be fully furnished, and it will include a double bed, mirrored wardrobe, a chest of 4 drawers, 2 side cabinets, 1 side table, 4 side lights and it has its own private brand new bathroom. Fresh bed linen, towels, soap and shampoo will be provided. There is also a coffee machine (Nespresso) in the kitchen which you will be welcome to use / Kettle for tea. The flat it's only 1/2 mins walk to shops, bars and restaurants in Abbeville road, Sainsbury and Coop supermarkets 2 mins away, Clapham Common park 2 mins away. Kitchen dining area + private bathroom + terrace. I will be working during week days, but happy to give you tips and helping out on your trip. Gail coffee shop, just round the corner as well local independent shops in Abbeville road; Clapham Common park it's only 2 minoneGail coffee shop, just round the corner as well local independent shops in Abbeville road; Clapham Common park it's only 2 mins away. The area is very safe, and flat located in a very quiet and residential road in Abbeville village (SW4).Happy to advise on things to do in London and in the local area. The flat is Located in Zone 2, very central, 6 mins to Clapham South tube station (Northen line), 10 mins to Clapham Common, 15mins to Victoria and 20mins to London Bridge station.- Check-in after 18:30pm and no later than 20:30pm during week days. - No shoes in the house - No drinks/ Food in bedroom - Parking allowed with zone with parking permit onlyhttps://a0.muscache.com/im/pictures/7c2b2fcc-e1b8-4dd8-a8c9-b14444958c4f.jpg?aki_policy=large33612332012-08-24within a few hours100%f1.0tfClaphamLambethSW4 9EF51.45622-0.14137ApartmentPrivate room11.01.01.0Real Bed{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance","Hot water","Bed linens","Extra pillows and blankets","Luggage dropoff allowed","Long term stays allowed","Host greets you"}50.01NaNNaNNaNNaNNaNNaNNaNflexibleNaNSE3B7BXN9G
4Excellent city Apartment with Private PatioNEW luxury apartment, with private outside patio. Great location, next to the underground station and bus stops. Many local shops, bars, restaurants and Saturday farmer's market. Perfect for couples, family with older children, friends, solo or business travellers.A modern, well-equipped, cosy apartment close to Victoria Station (where trains and buses arrive from all London airports and international and national destinations). The apartment is very bright, clean and stylish. A well equipped and fully functional kitchen and bathroom. A new 'queen size' double bed in the bedroom and a new comfortable sofa-bed in the living room. Clean sheets and towels (cotton) are provided. Soaps, shampoo, hair dryer Free wi-fi internet Free 'Welcome' mini-bar with a selection of drinks and snacks (including light breakfast). Coffee machine. Fridge, freezer, microwave, dishwasher, clothes washing-machine with dryer. Television. Wardrobe with shelves and hangers. Iron and ironing board. International adaptor plug. Useful maps/information on what to see and do. There are 24hr supermarkets, pharmacy, pubs and restaurants close to the apartment. A beautiful park across the road for walking, running or chilling out (with its characteristic caffeteria). Gym and sporNEW luxury apartment, with private outside patio. Great location, next to the underground station and bus stops. Many local shops, bars, restaurants and Saturday farmer's market. Perfect for couples, family with older children, friends, solo or business travellers. A modern, well-equipped, cosy apartment close to Victoria Station (where trains and buses arrive from all London airports and international and national destinations). The apartment is very bright, clean and stylish. A well equipped and fully functional kitchen and bathroom. A new 'queen size' double bed in the bedroom and a new comfortable sofa-bed in the living room. Clean sheets and towels (cotton) are provided. Soaps, shampoo, hair dryer Free wi-fi internet Free 'Welcome' mini-bar with a selection of drinks and snacks (including light breakfast). Coffee machine. Fridge, freezer, microwave, dishwasher, clothes washing-machine with dryer. Television. Wardrobe with shelves and hangers. Iron and ironing board. InternationalnoneNaNNaNI am very happy for your visit, but please care and respect the apartment and leave it in a clean state. Please be very considerate to the neighbours, they are our friends. Quiet time is 23.00 to 7.00 Please know that any bad behaviour will be reported and you may be asked to leave immediately.https://a0.muscache.com/im/pictures/ca1494da-f658-4b70-8592-d1865a55db89.jpg?aki_policy=large943170222016-09-09within an hour100%t2.0tfLB of LambethLambethSE11 5TL51.48114-0.11219ApartmentEntire home/apt31.02.02.0Real Bed{TV,Wifi,Kitchen,"Paid parking off premises",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Patio or balcony"}104.01100.010.010.010.010.010.010.0strict_14_with_grace_period2.32E0C82VK0VF
52 Bed garden flat 10 min away from London BridgeHello there.I have a 2 bedroom garden flat in South East London (zone 2).It's just two stations away from London Bridge and 10 min away from Greenwich.The nearest stations are Surrey Quays (Overground) and Canada Water - Jubilee Line (underground).The flat can sleep 6 or 7 as I have a spare single mattress if needed.There is a lovely garden available for your use.I can arrange a transport from the airport for you if needed at the cost of around £50-55 .I hope you will enjoy your stay!!The flat is quite cosy and the garden space with growing raspberries .Feel free to have some!Hello there.I have a 2 bedroom garden flat in South East London (zone 2).It's just two stations away from London Bridge and 10 min away from Greenwich.The nearest stations are Surrey Quays (Overground) and Canada Water - Jubilee Line (underground).The flat can sleep 6 or 7 as I have a spare single mattress if needed.There is a lovely garden available for your use.I can arrange a transport from the airport for you if needed at the cost of around £50-55 .I hope you will enjoy your stay!! The flat is quite cosy and the garden space with growing raspberries .Feel free to have some! I won't be able to check you in but I will provide you with all the informations about the keys through email or txt message The property is situated in front of Lidl and Mc Donalds but the area is quite peaceful and quiet.There is a shopping centre ,bowling,cinema complex ,restaurants ,leisure centre and 2 parks within 7min walk from the property.The location is great for sightseeing as its so close to LondononeThe property is situated in front of Lidl and Mc Donalds but the area is quite peaceful and quiet.There is a shopping centre ,bowling,cinema complex ,restaurants ,leisure centre and 2 parks within 7min walk from the property.The location is great for sightseeing as its so close to London attractions but also leisure and relaxing.Transport links are great.There are two buses leaving from the outside of the property 188 and 47 that take you to Central London or overground station Surrey Quays and Canada Water (tube)NaNhttps://a0.muscache.com/im/pictures/df8ae0fa-b091-4925-9d05-8026294fe8d9.jpg?aki_policy=large1930841612018-06-02NaNNaNf1.0tfLB of SouthwarkSouthwarkSE8 5AW51.49077-0.04448ApartmentEntire home/apt61.02.03.0Real Bed{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Lockbox}100.0170.010.05.010.010.09.08.0flexible0.233OP12CBRJ5
62 Bedroom Duplex With TerracesLuxurious, two double bedroom apartment situated on the highly sought after Walpole Court development next to Ealing Studios. This split level property has an amazing roof terrace and has been finished to the highest specification throughout. The property has easy access to Ealing Broadway and South Ealing tube stations and backs onto Historic Walpole Park. The unfurnished apartment also has a allocated parking space.Luxurious Development Great Location Split Level Roof Terrace Allocated Parking Two Double BedroomsLuxurious, two double bedroom apartment situated on the highly sought after Walpole Court development next to Ealing Studios. This split level property has an amazing roof terrace and has been finished to the highest specification throughout. The property has easy access to Ealing Broadway and South Ealing tube stations and backs onto Historic Walpole Park. The unfurnished apartment also has a allocated parking space. Luxurious Development Great Location Split Level Roof Terrace Allocated Parking Two Double Bedrooms Estate manager available during all working hours and on call out on evenings and early mornings. Ealing Broadway (0.4 mi) - Central Line South Ealing (0.6 mi) West Ealing (0.7 mi)noneNaNEaling Broadway (0.4 mi) - Central Line South Ealing (0.6 mi) West Ealing (0.7 mi)Quiet Hours: 00:00-08:00https://a0.muscache.com/im/pictures/d85484b1-ec01-4db9-b061-215142e91c23.jpg?aki_policy=large434810322015-09-06within a day90%f0.0ffLB of EalingEalingW5 5ED51.51043-0.30766ApartmentEntire home/apt41.52.02.0Real Bed{Kitchen,"Free parking on premises","Pets allowed",Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Hangers,Iron,"Private entrance","Bed linens",Microwave,Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,"Patio or balcony"}190.01NaNNaNNaNNaNNaNNaNNaNflexible0.47MJJG3JOEYC
7*Private living room & comfy bed - 2 mins to tube*Spacious private living room in a fantastic central location close to shops, 2 minutes walk from underground and very close to Shoreditch/Brick Lane, Tower of London & Bank. The perfect base to explore the best London has to offer! Quiet and safe area at night, perfect for a good sleep. Full equipped kitchen to cook at home, as well as 5 supermarkets nearby and a fruit and vegetable market. Full central heating to keep warm in winter. Towels & sheets included. Includes free parking!The living room is for the exclusive use of the people booking this room :-)Spacious private living room in a fantastic central location close to shops, 2 minutes walk from underground and very close to Shoreditch/Brick Lane, Tower of London & Bank. The perfect base to explore the best London has to offer! Quiet and safe area at night, perfect for a good sleep. Full equipped kitchen to cook at home, as well as 5 supermarkets nearby and a fruit and vegetable market. Full central heating to keep warm in winter. Towels & sheets included. Includes free parking! The living room is for the exclusive use of the people booking this room :-) I am happy to offer advice throughout your trip and help you make the most of your time in London. I know the local area well and can send you a guide of personal recommendations. Located in the east of central London, the flat is well located to access not only the best art galleries, museums and parks of central London, but also the best nightlife London has to offer! Tower Bridge, Brick Lane, Shoreditch and Bank are all accessibnoneLocated in the east of central London, the flat is well located to access not only the best art galleries, museums and parks of central London, but also the best nightlife London has to offer! Tower Bridge, Brick Lane, Shoreditch and Bank are all accessible within 5 minutesShadwell station is just round the corner from the flat (2 mins walk) and is one stop/ 3 minutes from Bank (Central Line, Northern Line and Waterloo & City Line) and has overground trains to Shoreditch (4 mins) and Dalston (11 mins). Whitechapel station is also less than 10 mins walk, for District and Hammersmith & City lines. You can get all over London very easily!It is also well connected to all the main bus routes through London.NaNhttps://a0.muscache.com/im/pictures/47651097-f384-46fb-9071-40c782a1d619.jpg?aki_policy=large39976382012-10-28within an hour100%f1.0ttWhitechapel/Brick LaneTower HamletsE1 2QZ51.51354-0.05700ApartmentPrivate room21.01.00.0Real Bed{TV,Internet,Wifi,Kitchen,"Free parking on premises","Free street parking",Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Lockbox,"Private living room","Private entrance","Hot water","Bed linens","Extra pillows and blankets","Ethernet connection","Pocket wifi",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Patio or balcony","Luggage dropoff allowed","Long term stays allowed"}30.01NaNNaNNaNNaNNaNNaNNaNmoderateNaNJ0IOAQXJT0
8Cosy room near Heathrow in Semi detached propertyNaNNaNNaNnoneNaNNaNGuest should clean their dishes. Guest should clean kitchen after they finish cooking. Guest should clean bathroom/toilet after themselves. Guest should keep their rooms and other common areas clean. Should respect other occupants of the house by keeping the noise level low, particularly at night and early morning. It's a shared kitchen and keeping the kitchen clean and tidy is important.https://a0.muscache.com/im/pictures/bc4e763f-8979-42cd-980f-c59cc04ea19f.jpg?aki_policy=large925052872016-08-29within a day70%f3.0tfLB of HillingdonHillingdonUB3 4QY51.49560-0.41251HousePrivate room21.01.01.0Real Bed{TV,Wifi,Kitchen,"Free parking on premises","Indoor fireplace",Heating,Washer,"Smoke detector","Carbon monoxide detector","Lock on bedroom door",Hangers,"Self check-in",Lockbox,"Private entrance","Hot water"}27.01NaNNaNNaNNaNNaNNaNNaNstrict_14_with_grace_periodNaNSKWS3WE08F
9Comfortable double room for you :)Amazing comfortable and specious Double Room. Perfect to enjoy your holidays in London. .There are direct buses taking you to the main attractions in London like: -London Eye -Trafalgar Square -Big Ben and House of Parliament -Westminter Abbey and many more. Friendly and always happy to help hosts who speak in: English, Spanish, Catalan, Polish, Arabic and ItalianDouble room ( 4.5m x 4.5m ), double bed, dining table, two chairs, storage room, complimentary coffee and tea,massive windows facing trees giving you relaxing feeling.Amazing comfortable and specious Double Room. Perfect to enjoy your holidays in London. .There are direct buses taking you to the main attractions in London like: -London Eye -Trafalgar Square -Big Ben and House of Parliament -Westminter Abbey and many more. Friendly and always happy to help hosts who speak in: English, Spanish, Catalan, Polish, Arabic and Italian Double room ( 4.5m x 4.5m ), double bed, dining table, two chairs, storage room, complimentary coffee and tea,massive windows facing trees giving you relaxing feeling. Any time Great restaurants and easy access to the center. We could recommend you Portuguese restaurant "A Toca" just 4 min away for very nice, cheep and great food. If you fancy morning coffee and sandwich there is "Delicias" (Where food, style and passion meet). Location and transports: Located just on the limit of London Zone 1, 15 minutes’ walk from the river Thames. Main attractions can be reached by bus easily and quickly. -Bus 77- Goes to London Eye (noneGreat restaurants and easy access to the center. We could recommend you Portuguese restaurant "A Toca" just 4 min away for very nice, cheep and great food. If you fancy morning coffee and sandwich there is "Delicias" (Where food, style and passion meet).Location and transports: Located just on the limit of London Zone 1, 15 minutes’ walk from the river Thames. Main attractions can be reached by bus easily and quickly. -Bus 77- Goes to London Eye (18 minutes) -Bus 87/24h bus- Goes to the Parliament of Westminster and Trafalgar Square (20 Minutes) -Bus 452- Goes to Hight St Kensington-Hyde Park- Royal Albert Hall- Natural History Museums 20 Minutes – Notting Hill (40 Minutes) Buses runs every 5 minutes Approx. Underground: -Stockwell and Vauxhall are Nearest underground stations. 13 minutes’ walk or 7 minutes by bus Overground: -Wandsworth Road is just 5 minutes’ walk from our house- goes to Canary Wharf (east London in just 20 minutes )NaNhttps://a0.muscache.com/im/pictures/b3efcdc7-091a-48d9-b1ad-3fb11108db58.jpg?aki_policy=large340440602015-05-23within an hour100%t5.0ttLB of WandsworthWandsworthSW8 4HJ51.47332-0.13622ApartmentPrivate room21.51.01.0Real Bed{Wifi,Kitchen,"Free street parking",Heating,"Family/kid friendly",Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,Other}38.0196.010.010.010.010.09.010.0strict_14_with_grace_period2.31HKAPWVENPH

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namesummaryspacedescriptionexperiences_offeredneighborhood_overviewtransithouse_rulespicture_urlhost_idhost_sincehost_response_timehost_response_ratehost_is_superhosthost_total_listings_counthost_has_profile_pichost_identity_verifiedneighbourhoodneighbourhood_cleansedzipcodelatitudelongitudeproperty_typeroom_typeaccommodatesbathroomsbedroomsbedsbed_typeamenitiespriceguests_includedreview_scores_ratingreview_scores_accuracyreview_scores_cleanlinessreview_scores_checkinreview_scores_communicationreview_scores_locationreview_scores_valuecancellation_policyreviews_per_monthlisting_id
55274LONDON MANFORD 1 BED APARTMENT: SLEEPS 2-6.1. The apartment is available and it is in Chigwell It is 10mins walk to Hainault station. Very convenient to visit (Website hidden by Airbnb) is an independent apartment. 2. IT HAS GOT ITS OWN KITCHEN AND BATHROOM., A BEDROOM WITH 1 DOUBLE BED PLUS 1 DOUBLE SOFA BED LIVING ROOM : 2 DOUBLE SOFA BEDS PLUS DINING TABLE.FREE PARKING. FREE INTERNET. 3. Nearest tube stations: HAINAULT 15 mins walk,. 4. Nearest supermarkets: TESCO, Sainsbury . 5. 30 mins on the tube to Liverpool Street (city)NaN1. The apartment is available and it is in Chigwell It is 10mins walk to Hainault station. Very convenient to visit (Website hidden by Airbnb) is an independent apartment. 2. IT HAS GOT ITS OWN KITCHEN AND BATHROOM., A BEDROOM WITH 1 DOUBLE BED PLUS 1 DOUBLE SOFA BED LIVING ROOM : 2 DOUBLE SOFA BEDS PLUS DINING TABLE.FREE PARKING. FREE INTERNET. 3. Nearest tube stations: HAINAULT 15 mins walk,. 4. Nearest supermarkets: TESCO, Sainsbury . 5. 30 mins on the tube to Liverpool Street (city)noneNaNNaNNaNhttps://a0.muscache.com/im/pictures/bbaf45fe-a9bd-44d9-bc6f-5d02b32224c4.jpg?aki_policy=large1497511252017-09-08within an hour100%f49.0tfLB of RedbridgeRedbridgeIG751.607350.10924ApartmentEntire home/apt61.01.04.0Real Bed{TV,Wifi,Kitchen,"Free parking on premises",Heating,Washer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Hangers,"Hair dryer",Iron,"Bed linens"}65.0240.06.02.010.010.08.04.0strict_14_with_grace_period0.051YSHZXURHW
55275Sunny studioBright and sunny studio apartment with just 8min walk to Canada Water station and 7min to Rothertithe stationNaNBright and sunny studio apartment with just 8min walk to Canada Water station and 7min to Rothertithe stationnoneNaNNaNPlease dont wear shoes in the house. Kindly switch off the heater once leaving the property.https://a0.muscache.com/im/pictures/f7091ab3-d74e-45bb-8076-6d79b73b732f.jpg?aki_policy=large332232602015-05-12within an hour100%t1.0ttRotherhitheSouthwarkSe166bx51.50311-0.04416ApartmentEntire home/apt21.50.02.0Real Bed{Wifi,Kitchen,"Free street parking",Heating,Washer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Lockbox,"Hot water",Microwave,"Coffee maker",Refrigerator,"Cooking basics",Oven,Stove}49.0195.010.09.010.010.09.09.0strict_14_with_grace_period0.97XMFL68O3MQ
55276Large Boutique Double Room Near ShoreditchLarge Double Room in a second floor flat close to Shoreditch, Spitalfields and Brick Lane. Walking distance from Liverpool Street on a quite residential street.NaNLarge Double Room in a second floor flat close to Shoreditch, Spitalfields and Brick Lane. Walking distance from Liverpool Street on a quite residential street. Bathroom, Kitchen, Wifi, All tea, coffee, cooking equipment and washing utilities. 3 other (Hidden by Airbnb) will welcome you kindly! Quite and very safe. Close to a Tesco and SainsburysnoneQuite and very safe. Close to a Tesco and SainsburysNaNNaNhttps://a0.muscache.com/im/pictures/5319dd51-9454-4307-a30e-b7d6000be6e2.jpg?aki_policy=large454284752015-09-30NaNNaNf1.0ttWhitechapel/Brick LaneTower HamletsE1 1EU51.51527-0.06433ApartmentPrivate room11.01.01.0Real Bed{TV,Wifi,"Air conditioning",Kitchen,"Smoking allowed",Breakfast,Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door","Hair dryer",Iron,"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50"}35.01100.010.010.010.010.09.09.0strict_14_with_grace_period0.13SPCNFIJREV
55277THE PARK COURTWe are delighted to present this Two Bedroom Basement Apartment in Kilburn/Maida Vale (6 min from Kilburn Park Station). This property is set to a very high standard and is ready for all our guests. The property is fully furnished, it benefits from double beds, TV's with Netflix, BBC iPlayer and other apps. It also benefits from a modern equipped kitchen which has a washing machine, fridge freezer,electric cooker,free WiFi and more. Free parking after 6 PM on week days but free on Weekends.NaNWe are delighted to present this Two Bedroom Basement Apartment in Kilburn/Maida Vale (6 min from Kilburn Park Station). This property is set to a very high standard and is ready for all our guests. The property is fully furnished, it benefits from double beds, TV's with Netflix, BBC iPlayer and other apps. It also benefits from a modern equipped kitchen which has a washing machine, fridge freezer,electric cooker,free WiFi and more. Free parking after 6 PM on week days but free on Weekends. Our guest have access to the ground floor rooms only, apart from the bathroom on the first floor the other rooms on the first floor are locked and not in use. Easy access to Oxford Street and central London. Various Transport links around London.noneNaNEasy access to Oxford Street and central London. Various Transport links around London.NaNhttps://a0.muscache.com/im/pictures/7729bcc7-5e05-426a-8245-666badd22f0f.jpg?aki_policy=large1847610282018-04-17within an hour100%f36.0ttMaida ValeWestminsterNW6 5LA51.53027-0.19341ApartmentEntire home/apt42.52.02.0Real Bed{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Private entrance","Hot water","Bed linens","Extra pillows and blankets",Microwave,Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,"Garden or backyard","Long term stays allowed","Paid parking on premises"}150.0280.010.08.010.08.08.010.0strict_14_with_grace_period1.00ZHTXO3K31Z
55278Spa GreenHey, We're a couple in central London and this is our home. Our son is 3 years old so there's a crib and toys in the second bedroom. We often travel and when we do try to share on AirBnB. Super-central, great flat, trendy area! Background: Spa Green Estate is the most complete post-war realisation of a 1930s radical plan for social regeneration through Modernist architecture. In 1998 this work by the architect Berthold Lubetkin received a Grade II* listing.NaNHey, We're a couple in central London and this is our home. Our son is 3 years old so there's a crib and toys in the second bedroom. We often travel and when we do try to share on AirBnB. Super-central, great flat, trendy area! Background: Spa Green Estate is the most complete post-war realisation of a 1930s radical plan for social regeneration through Modernist architecture. In 1998 this work by the architect Berthold Lubetkin received a Grade II* listing.noneNaNNaNNaNhttps://a0.muscache.com/im/pictures/f8ddaeec-dc15-4ff0-9c5e-4dd08337733b.jpg?aki_policy=large21236932012-04-12NaNNaNf1.0ttClerkenwellIslingtonEC1R 4TS51.52887-0.10511ApartmentEntire home/apt21.02.01.0Real Bed{Wifi,Kitchen,Elevator,Washer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","High chair","Children’s books and toys",Crib,"Hot water",Other}100.0193.09.09.010.010.010.010.0moderate0.10OGM4XZ1K4W
55279Brixton/Camberwell DBL bedroom, brand new flatLarge private double bedroom available in a brand new, light and airy 2bed flat. Short walk to buzzing Brixton or Camberwell. South facing balcony with bistro set and sofa. Communal roof terrace with amazing views of London skyline. Close to Kings College Hospital and Camberwell College of Arts. Stones throw from Loughborough Junction station with direct routes to Kings Cross, the city centre and Wimbledon. 2stops to famous Southbank Area. 3 stops from St Paul's. 5 stops from Kings Cross.NaNLarge private double bedroom available in a brand new, light and airy 2bed flat. Short walk to buzzing Brixton or Camberwell. South facing balcony with bistro set and sofa. Communal roof terrace with amazing views of London skyline. Close to Kings College Hospital and Camberwell College of Arts. Stones throw from Loughborough Junction station with direct routes to Kings Cross, the city centre and Wimbledon. 2stops to famous Southbank Area. 3 stops from St Paul's. 5 stops from Kings Cross. Guests can access all parts of the property including the communal roof terrace which has excellent views of the London skyline. Situated smack bang in the centre of south London, Brixton has become a go-to haunt for foodies, clubbers, artists and rockers alike. This cultural mecca is filled with a sense of community, which is evident for anyone who has shopped in Brixton Village or enjoyed a drink with local residents outside the Ritzy cinema. And for those in search of a party, Brixton’s famous linoneSituated smack bang in the centre of south London, Brixton has become a go-to haunt for foodies, clubbers, artists and rockers alike. This cultural mecca is filled with a sense of community, which is evident for anyone who has shopped in Brixton Village or enjoyed a drink with local residents outside the Ritzy cinema. And for those in search of a party, Brixton’s famous live venues, including the Brixton Academy and Hootananny, draw in the late night crowds. 2 great places for breakfast nearby - Love Walk Café and Art Café. Lots of Pubs with in walking distance, 1 voted in the top places for Sunday Lunch in London (Camberwell Arms).Loughbrough Junction Station (Thameslink Line) - 5 min walk Brixton Underground Station - 15 min walk or 5 min bus Denmark Hill Overground Station - 10 min walkTake shoes off at the door No food or drink on the sofahttps://a0.muscache.com/im/pictures/f79f4455-249a-43d7-82f3-b16466469781.jpg?aki_policy=large283546242015-02-25NaNNaNf2.0tfStockwellLambethSE5 9EB51.47078-0.10048ApartmentPrivate room21.01.01.0Real Bed{TV,"Cable TV",Wifi,"Wheelchair accessible",Kitchen,Elevator,"Buzzer/wireless intercom",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Host greets you"}65.01100.010.010.010.010.09.010.0strict_14_with_grace_period0.20HSY40NEHOI
55280End suite with private bathroom. Close to the cityNaNPrivate end suite with smart TV and PlayStation. Living room with Android TV, dining table, PlayStation. Kitchen fully furnishedPrivate end suite with smart TV and PlayStation. Living room with Android TV, dining table, PlayStation. Kitchen fully furnished Room + Toilet + Bathroom + Living room and KitchennoneNaNNaNNaNhttps://a0.muscache.com/im/pictures/f7f0103a-e15f-4e13-9a5c-a5889fe58060.jpg?aki_policy=large2076190042018-08-05NaNNaNf1.0tfLB of NewhamNewhamE15 2PZ51.53341-0.00913ApartmentPrivate room21.01.00.0Real Bed{TV,Wifi,Kitchen,Heating,"Smoke detector","Fire extinguisher",Essentials,Iron,"Game console","Hot water"}40.01100.010.010.010.010.010.010.0flexible0.08XZXB1NS63Y
55281The place full of a good energy!3 double bedroom APARTMENT for families and friends. Fully equipped, CLEAN, COSY, SAFE. A living room: TV 190 channels, fast Wi-Fi; 3 seater sofa and one small sofa bed for extra person. Dining area, open-plan fully fitted KITCHEN. Clean 2 SHOWER rooms with WC with toiletries. BEDDINGS, TOWELS, TOILETRIES and a basic BREAKFAST are provided. DIRECT, convenient and quick ACCESS to CENTRAL LONDON by the TUBE from HIGHGATE Station or bus next door. HIGHGATE CEMETERY, ALEXANDRA PALACE, CAMDENWarm, clean and safe, close to city atractions and with far fetching views across North London. Each room has its own energy taken from 'Fawlty Towers' which represents pure British sense of humour: 1. bedroom 1 'A Touch Of Class'* (master with en-suite wet room) 2. bedroom 2; changeable name on demand (free of charge) , eg.: 'The Germans' /'The Psychiatrist' / 'He’s (She's) from Barcelona' etc. 3. bedroom 3 'The anniversary' There are also: Living room (Wi-Fi, Sky TV) 'The language lesson' – great place for dining and gathering Open-plan fully fitted kitchen (dishwasher, oven with microwave, ceramic hob, kettle, toster). 'Waldorf Salad' Wet room with toilet and washbasin 'The wrong room' - '... big enough to drown a mouse'......;-)3 double bedroom APARTMENT for families and friends. Fully equipped, CLEAN, COSY, SAFE. A living room: TV 190 channels, fast Wi-Fi; 3 seater sofa and one small sofa bed for extra person. Dining area, open-plan fully fitted KITCHEN. Clean 2 SHOWER rooms with WC with toiletries. BEDDINGS, TOWELS, TOILETRIES and a basic BREAKFAST are provided. DIRECT, convenient and quick ACCESS to CENTRAL LONDON by the TUBE from HIGHGATE Station or bus next door. HIGHGATE CEMETERY, ALEXANDRA PALACE, CAMDEN Warm, clean and safe, close to city atractions and with far fetching views across North London. Each room has its own energy taken from 'Fawlty Towers' which represents pure British sense of humour: 1. bedroom 1 'A Touch Of Class'* (master with en-suite wet room) 2. bedroom 2; changeable name on demand (free of charge) , eg.: 'The Germans' /'The Psychiatrist' / 'He’s (She's) from Barcelona' etc. 3. bedroom 3 'The anniversary' There are also: Living room (Wi-Fi, Sky TV) 'The language lesson' –noneLocation, location, location: Local amenities: Sainsbury`s local at the ground floor opened 7am-11pm; Flower Thai Massage and Daisy Beauty Spa; budget-friendly bars, variety of Cafés & Restaurants, Boogaloo pub - of the best in Highgate…. Attractions: Highgate cemetery - Grade I on the Historic England Register of Parks and Gardens of Special Historic Interest in England where many famous people are buried, I.a.: Karl Marx and George Michael (singer, songwriter, whose house is next to the park - memory place at Highgate village). Hampstead Heath – view point, scenery from “Hampstead” (2107) with Diane Keaton and Brendan Gleeson Fashionable Crouch End with variaty of pubs with live music for free! Alexandra Palace – view point and the birthplace of television (BBC 1935). Camden itself is known internationally as one of the most creative areas of London. Arts, crafts, fashion and accessories in "Camden Market" and crowded streets along "Camden Lock" by Regent's Canal.Direct, convenient and quick 20 mins access to central London by: * Tube Stations (Northern Line): Highgate is just a stone's throw and Archway (Zone 2) 12 minutes walk * buses - next door Highgate Southwood Avenue (Stop U) * bike and helmet – you can hire if you wish (a deposit required). * Please notice that 'Free parking on premise' has limited access, which means there is a car park along the street next to the house. The street sign allows drivers to park for free from 7pm till 7am, and during the day for 1 hour between 7am and 7pm (no return within 2 hours), and Sunday whole day/night. For more information about car parks avaialable nearby please check a link, which I provide while asking about.- SMOKING is STRICTLY FORBIDDEN at the building at any time - NO PARTIES AND EVENTS - Please respect courtesy hours between 10pm and 8am during the week and 12pm and 10am on weekends. - Free parking place at the premises for ONE FAMILY car. - Please respect other guests space and do not invite any visitors/friends to the apartment. - Please, no shoes in the flat.https://a0.muscache.com/im/pictures/11207118-1a12-477d-bdce-55749c8b04ea.jpg?aki_policy=large1379704792017-07-01within an hour100%f4.0tfLB of HaringeyHaringeyN6 5AX51.57463-0.14177ApartmentEntire home/apt72.03.04.0Real Bed{TV,"Cable TV",Wifi,Kitchen,"Free parking on premises","Paid parking off premises",Breakfast,"Free street parking",Heating,"Family/kid friendly",Washer,"Smoke detector","First aid kit",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in",Keypad,"Private entrance","Hot water","Bed linens","Extra pillows and blankets","Ethernet connection",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,"Luggage dropoff allowed"}89.0296.010.010.010.010.010.010.0flexible1.60Z2T8G6D82D
55282Amazing 1BD apartment right next to Finsbury ParkThis amazing 1 bed apartment offers an ideal base for travellers in London. There is a large King sized bed in the bedroom with a modern bathroom located just across the hall. You'll also have access to a bright and airy open-plan living room with a well-equipped kitchen in the corner. To make the most of those sunny days there is also a balcony which can be accessed directly from the living room.Welcome to this modern and bright apartment in northern London! The flat is located in a modern building ideally located just 5 minutes from Finsbury Park underground station. The space is full of light and offer all you need during your stay. The bedroom has a comfortable King sized bed with plenty of closet space and throughout the flat there are numerous places where you can store your stuff. The modern bathroom is just a hop across the hallway. The luminous living room sits directly next to the open-plan kitchen where you'll find all the amenities you need including a great coffee machine.This amazing 1 bed apartment offers an ideal base for travellers in London. There is a large King sized bed in the bedroom with a modern bathroom located just across the hall. You'll also have access to a bright and airy open-plan living room with a well-equipped kitchen in the corner. To make the most of those sunny days there is also a balcony which can be accessed directly from the living room. Welcome to this modern and bright apartment in northern London! The flat is located in a modern building ideally located just 5 minutes from Finsbury Park underground station. The space is full of light and offer all you need during your stay. The bedroom has a comfortable King sized bed with plenty of closet space and throughout the flat there are numerous places where you can store your stuff. The modern bathroom is just a hop across the hallway. The luminous living room sits directly next to the open-plan kitchen where you'll find all the amenities you need including a great coffee machinenoneNaNFinsbury Park underground station: 5 mins walk On the underground: The National Gallery 30 mins The London Eye 30 mins The Tower of London 40 mins King's Cross Station 15 mins Heathrow Airport 1 hour Gatwick Airport 1 hour- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties - If guests lock themselves out of the property OR they do not place keys in the lockbox at checkout, a £50 fee will apply. If a guest loses a set of keys during their stay, an £80 fee will apply.https://a0.muscache.com/im/pictures/8cef1248-47b1-46e7-b6fe-b8031f36fded.jpg?aki_policy=large643392192016-03-24NaNNaNf1.0ttLB of HackneyHackneyN451.56586-0.10193ApartmentEntire home/apt21.01.01.0Real Bed{Wifi,Kitchen,"Paid parking off premises",Elevator,Heating,"Family/kid friendly",Washer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_50","Hot water","Long term stays allowed",Other}80.0294.010.010.09.010.09.09.0moderate0.558B1Q8UJWLH
55283Serene Private Room with EnsuiteThis spacious bedroom with its beautiful ensuite is the perfect base for any traveller. Located in charming Chiswick, it has excellent public transport links (Chiswick, Chiswick Park, Turnham Green and Gunnersbury station) which can get you into Central London in under 30min. Heathrow Airport is also a convenient 25min away. Your hosts are a lovely French-South African family who are happy to answer any queries about London and its attractions. Nous parlons aussi Français!This beautiful bedroom has recently been refurbished to very high standards. It's light and airy thanks to the large bay windows. There is a comfortable double bed from which you can watch the flat-screen TV. The ensuite is sleek and modern and includes a relaxing bathtub. The room also has ample storage with a wardrobe and clothes horse should you require it. There is a large desk space with lamp for those who wish to work and a coffee machine at your disposal. The antique mirror, tapestry and decorative lights give this room a warm and serene atmosphere in the evening, perfect for winding down after a long day in London! The downstairs area (kitchen, living room, garden) is shared, you can find us there for a chat or a bite to eat.This spacious bedroom with its beautiful ensuite is the perfect base for any traveller. Located in charming Chiswick, it has excellent public transport links (Chiswick, Chiswick Park, Turnham Green and Gunnersbury station) which can get you into Central London in under 30min. Heathrow Airport is also a convenient 25min away. Your hosts are a lovely French-South African family who are happy to answer any queries about London and its attractions. Nous parlons aussi Français! This beautiful bedroom has recently been refurbished to very high standards. It's light and airy thanks to the large bay windows. There is a comfortable double bed from which you can watch the flat-screen TV. The ensuite is sleek and modern and includes a relaxing bathtub. The room also has ample storage with a wardrobe and clothes horse should you require it. There is a large desk space with lamp for those who wish to work and a coffee machine at your disposal. The antique mirror, tapestry and decorative lights givenoneChiswick is a beautiful neighbourhood full of charm and heritage. Despite being so close to Central London, it has kept it's small-town feel and has plenty of green spaces and a wonderful high street. Visit Chiswick House, an 18th-century villa set in a picturesque park right at the end of our road. Take a walk along the Thames River and have a pint at one of the many riverside pubs. Go see the painter William Hogarth's house which is now a beautifully restored museum. Chiswick is a safe, family-friendly area with lots of local cafe and restaurants to try out.The E3 and 272 bus stop is a 2min walk from our house. Seven more buses (H (Phone number hidden by Airbnb) ) are at a 5min walk. Chiswick train station is a 5min walk away (goes to Waterloo). Chiswick Park tube station is a 10min walk while Gunnersbury and Turnham Green are 15min away. All tube stations are on the District Line (the Picadilly Line stops at Turnham Green after 10pm). Heathrow Airport is a 20mn car trip away or 35min tube ride.Please do not enter the office or other bedrooms Smoking is only allowed outside No additional/unplanned guests Please do not disrupt our personal items Rude or threatening behaviour will never be tolerated This is our home so please treat it and us with respect!https://a0.muscache.com/im/pictures/1ad326e5-b5c0-4b73-8a6a-77db3edaed74.jpg?aki_policy=large336523722015-05-18within an hour90%f2.0tfLB of HounslowHounslowW4 3EB51.48549-0.26685HousePrivate room21.01.01.0Real Bed{TV,Wifi,"Paid parking off premises","Pets allowed",Heating,"Smoke detector","Carbon monoxide detector","First aid kit",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens","Coffee maker","Garden or backyard"}110.01100.010.010.010.010.010.010.0moderate0.73BKSRYBXCFL